Merge pull request #612 from Junjun2016/modify_metafile

[Enhancement] Change inference time from 'fps' to 'ms/im' in metafile
2025-06-03 22:03:48 +08:00 · 2021-06-22 13:38:16 +08:00 · 2021-06-22 13:38:16 +08:00 · 256b955c76
commit 256b955c76
parent f513253de9 3856453537
27 changed files with 384 additions and 384 deletions
--- a/configs/ann/metafile.yml
+++ b/configs/ann/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: ann_r50-d8_512x1024_40k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 3.71
+      inference time (ms/im): 269.54
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: ann_r101-d8_512x1024_40k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 2.55
+      inference time (ms/im): 392.16
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: ann_r50-d8_769x769_40k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 1.70
+      inference time (ms/im): 588.24
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: ann_r101-d8_769x769_40k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: ann_r50-d8_512x1024_80k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 3.71
+      inference time (ms/im): 269.54
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: ann_r101-d8_512x1024_80k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 2.55
+      inference time (ms/im): 392.16
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: ann_r50-d8_769x769_80k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps): 1.70
+      inference time (ms/im): 588.24
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: ann_r101-d8_769x769_80k_cityscapes
    In Collection: ANN
    Metadata:
-      inference time (fps):
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: ann_r50-d8_512x512_80k_ade20k
    In Collection: ANN
    Metadata:
-      inference time (fps): 21.01
+      inference time (ms/im): 47.6
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: ann_r101-d8_512x512_80k_ade20k
    In Collection: ANN
    Metadata:
-      inference time (fps): 14.12
+      inference time (ms/im): 70.82
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: ann_r50-d8_512x512_160k_ade20k
    In Collection: ANN
    Metadata:
-      inference time (fps): 21.01
+      inference time (ms/im): 47.6
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: ann_r101-d8_512x512_160k_ade20k
    In Collection: ANN
    Metadata:
-      inference time (fps): 14.12
+      inference time (ms/im): 70.82
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: ann_r50-d8_512x512_20k_voc12aug
    In Collection: ANN
    Metadata:
-      inference time (fps): 20.92
+      inference time (ms/im): 47.8
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: ann_r101-d8_512x512_20k_voc12aug
    In Collection: ANN
    Metadata:
-      inference time (fps): 13.94
+      inference time (ms/im): 71.74
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: ann_r50-d8_512x512_40k_voc12aug
    In Collection: ANN
    Metadata:
-      inference time (fps): 20.92
+      inference time (ms/im): 47.8
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: ann_r101-d8_512x512_40k_voc12aug
    In Collection: ANN
    Metadata:
-      inference time (fps): 13.94
+      inference time (ms/im): 71.74
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/apcnet/metafile.yml
+++ b/configs/apcnet/metafile.yml
@ -10,7 +10,7 @@ Models:
  - Name: apcnet_r50-d8_512x1024_40k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 3.57
+      inference time (ms/im): 280.11
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -24,7 +24,7 @@ Models:
  - Name: apcnet_r101-d8_512x1024_40k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 2.15
+      inference time (ms/im): 465.12
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -38,7 +38,7 @@ Models:
  - Name: apcnet_r50-d8_769x769_40k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 1.52
+      inference time (ms/im): 657.89
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -52,7 +52,7 @@ Models:
  - Name: apcnet_r101-d8_769x769_40k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 1.03
+      inference time (ms/im): 970.87
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -66,7 +66,7 @@ Models:
  - Name: apcnet_r50-d8_512x1024_80k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 3.57
+      inference time (ms/im): 280.11
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -80,7 +80,7 @@ Models:
  - Name: apcnet_r101-d8_512x1024_80k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 2.15
+      inference time (ms/im): 465.12
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -94,7 +94,7 @@ Models:
  - Name: apcnet_r50-d8_769x769_80k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 1.52
+      inference time (ms/im): 657.89
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -108,7 +108,7 @@ Models:
  - Name: apcnet_r101-d8_769x769_80k_cityscapes
    In Collection: APCNet
    Metadata:
-      inference time (fps): 1.03
+      inference time (ms/im): 970.87
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -122,7 +122,7 @@ Models:
  - Name: apcnet_r50-d8_512x512_80k_ade20k
    In Collection: APCNet
    Metadata:
-      inference time (fps): 19.61
+      inference time (ms/im): 50.99
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -136,7 +136,7 @@ Models:
  - Name: apcnet_r101-d8_512x512_80k_ade20k
    In Collection: APCNet
    Metadata:
-      inference time (fps): 13.10
+      inference time (ms/im): 76.34
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -150,7 +150,7 @@ Models:
  - Name: apcnet_r50-d8_512x512_160k_ade20k
    In Collection: APCNet
    Metadata:
-      inference time (fps): 19.61
+      inference time (ms/im): 50.99
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -164,7 +164,7 @@ Models:
  - Name: apcnet_r101-d8_512x512_160k_ade20k
    In Collection: APCNet
    Metadata:
-      inference time (fps): 13.10
+      inference time (ms/im): 76.34
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/ccnet/metafile.yml
+++ b/configs/ccnet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: ccnet_r50-d8_512x1024_40k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 3.32
+      inference time (ms/im): 301.2
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: ccnet_r101-d8_512x1024_40k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 2.31
+      inference time (ms/im): 432.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: ccnet_r50-d8_769x769_40k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 1.43
+      inference time (ms/im): 699.3
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: ccnet_r101-d8_769x769_40k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 1.01
+      inference time (ms/im): 990.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: ccnet_r50-d8_512x1024_80k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 3.32
+      inference time (ms/im): 301.2
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: ccnet_r101-d8_512x1024_80k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 2.31
+      inference time (ms/im): 432.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: ccnet_r50-d8_769x769_80k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 1.43
+      inference time (ms/im): 699.3
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: ccnet_r101-d8_769x769_80k_cityscapes
    In Collection: CCNet
    Metadata:
-      inference time (fps): 1.01
+      inference time (ms/im): 990.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: ccnet_r50-d8_512x512_80k_ade20k
    In Collection: CCNet
    Metadata:
-      inference time (fps): 20.89
+      inference time (ms/im): 47.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: ccnet_r101-d8_512x512_80k_ade20k
    In Collection: CCNet
    Metadata:
-      inference time (fps): 14.11
+      inference time (ms/im): 70.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: ccnet_r50-d8_512x512_160k_ade20k
    In Collection: CCNet
    Metadata:
-      inference time (fps): 20.89
+      inference time (ms/im): 47.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: ccnet_r101-d8_512x512_160k_ade20k
    In Collection: CCNet
    Metadata:
-      inference time (fps): 14.11
+      inference time (ms/im): 70.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: ccnet_r50-d8_512x512_20k_voc12aug
    In Collection: CCNet
    Metadata:
-      inference time (fps): 20.45
+      inference time (ms/im): 48.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: ccnet_r101-d8_512x512_20k_voc12aug
    In Collection: CCNet
    Metadata:
-      inference time (fps): 13.64
+      inference time (ms/im): 73.31
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: ccnet_r50-d8_512x512_40k_voc12aug
    In Collection: CCNet
    Metadata:
-      inference time (fps): 20.45
+      inference time (ms/im): 48.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: ccnet_r101-d8_512x512_40k_voc12aug
    In Collection: CCNet
    Metadata:
-      inference time (fps): 13.64
+      inference time (ms/im): 73.31
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/cgnet/metafile.yml
+++ b/configs/cgnet/metafile.yml
@ -9,7 +9,7 @@ Models:
  - Name: cgnet_680x680_60k_cityscapes
    In Collection: CGNet
    Metadata:
-      inference time (fps): 30.51
+      inference time (ms/im): 32.78
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -23,7 +23,7 @@ Models:
  - Name: cgnet_512x1024_60k_cityscapes
    In Collection: CGNet
    Metadata:
-      inference time (fps): 31.14
+      inference time (ms/im): 32.11
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
--- a/configs/danet/metafile.yml
+++ b/configs/danet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: danet_r50-d8_512x1024_40k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: danet_r101-d8_512x1024_40k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.99
+      inference time (ms/im): 502.51
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: danet_r50-d8_769x769_40k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.56
+      inference time (ms/im): 641.03
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: danet_r101-d8_769x769_40k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.07
+      inference time (ms/im): 934.58
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: danet_r50-d8_512x1024_80k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: danet_r101-d8_512x1024_80k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.99
+      inference time (ms/im): 502.51
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: danet_r50-d8_769x769_80k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.56
+      inference time (ms/im): 641.03
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: danet_r101-d8_769x769_80k_cityscapes
    In Collection: DANet
    Metadata:
-      inference time (fps): 1.07
+      inference time (ms/im): 934.58
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: danet_r50-d8_512x512_80k_ade20k
    In Collection: DANet
    Metadata:
-      inference time (fps): 21.20
+      inference time (ms/im): 47.17
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: danet_r101-d8_512x512_80k_ade20k
    In Collection: DANet
    Metadata:
-      inference time (fps): 14.18
+      inference time (ms/im): 70.52
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: danet_r50-d8_512x512_160k_ade20k
    In Collection: DANet
    Metadata:
-      inference time (fps): 21.20
+      inference time (ms/im): 47.17
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: danet_r101-d8_512x512_160k_ade20k
    In Collection: DANet
    Metadata:
-      inference time (fps): 14.18
+      inference time (ms/im): 70.52
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: danet_r50-d8_512x512_20k_voc12aug
    In Collection: DANet
    Metadata:
-      inference time (fps): 20.94
+      inference time (ms/im): 47.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: danet_r101-d8_512x512_20k_voc12aug
    In Collection: DANet
    Metadata:
-      inference time (fps): 13.76
+      inference time (ms/im): 72.67
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: danet_r50-d8_512x512_40k_voc12aug
    In Collection: DANet
    Metadata:
-      inference time (fps): 20.94
+      inference time (ms/im): 47.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: danet_r101-d8_512x512_40k_voc12aug
    In Collection: DANet
    Metadata:
-      inference time (fps): 13.76
+      inference time (ms/im): 72.67
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/deeplabv3/metafile.yml
+++ b/configs/deeplabv3/metafile.yml
@ -12,7 +12,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x1024_40k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 2.57
+      inference time (ms/im): 389.11
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -26,7 +26,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x1024_40k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.92
+      inference time (ms/im): 520.83
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -40,7 +40,7 @@ Models:
  - Name: deeplabv3_r50-d8_769x769_40k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.11
+      inference time (ms/im): 900.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -54,7 +54,7 @@ Models:
  - Name: deeplabv3_r101-d8_769x769_40k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 0.83
+      inference time (ms/im): 1204.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -68,7 +68,7 @@ Models:
  - Name: deeplabv3_r18-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 13.78
+      inference time (ms/im): 72.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -82,7 +82,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 2.57
+      inference time (ms/im): 389.11
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -96,7 +96,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.92
+      inference time (ms/im): 520.83
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -110,7 +110,7 @@ Models:
  - Name: deeplabv3_r18-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 5.55
+      inference time (ms/im): 180.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -124,7 +124,7 @@ Models:
  - Name: deeplabv3_r50-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.11
+      inference time (ms/im): 900.9
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -138,7 +138,7 @@ Models:
  - Name: deeplabv3_r101-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 0.83
+      inference time (ms/im): 1204.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -152,7 +152,7 @@ Models:
  - Name: deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 6.96
+      inference time (ms/im): 143.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -166,7 +166,7 @@ Models:
  - Name: deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 6.96
+      inference time (ms/im): 143.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -180,7 +180,7 @@ Models:
  - Name: deeplabv3_r18b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 13.93
+      inference time (ms/im): 71.79
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -194,7 +194,7 @@ Models:
  - Name: deeplabv3_r50b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 2.74
+      inference time (ms/im): 364.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -208,7 +208,7 @@ Models:
  - Name: deeplabv3_r101b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.81
+      inference time (ms/im): 552.49
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -222,7 +222,7 @@ Models:
  - Name: deeplabv3_r18b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 5.79
+      inference time (ms/im): 172.71
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -236,7 +236,7 @@ Models:
  - Name: deeplabv3_r50b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.16
+      inference time (ms/im): 862.07
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -250,7 +250,7 @@ Models:
  - Name: deeplabv3_r101b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 0.82
+      inference time (ms/im): 1219.51
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -264,7 +264,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x512_80k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 14.76
+      inference time (ms/im): 67.75
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -278,7 +278,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x512_80k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 10.14
+      inference time (ms/im): 98.62
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -292,7 +292,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x512_160k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 14.76
+      inference time (ms/im): 67.75
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -306,7 +306,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x512_160k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 10.14
+      inference time (ms/im): 98.62
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -320,7 +320,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x512_20k_voc12aug
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -334,7 +334,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x512_20k_voc12aug
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 9.81
+      inference time (ms/im): 101.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -348,7 +348,7 @@ Models:
  - Name: deeplabv3_r50-d8_512x512_40k_voc12aug
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -362,7 +362,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x512_40k_voc12aug
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 9.81
+      inference time (ms/im): 101.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -376,7 +376,7 @@ Models:
  - Name: deeplabv3_r101-d8_480x480_40k_pascal_context
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 7.09
+      inference time (ms/im): 141.04
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -390,7 +390,7 @@ Models:
  - Name: deeplabv3_r101-d8_480x480_80k_pascal_context
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 7.09
+      inference time (ms/im): 141.04
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -404,7 +404,7 @@ Models:
  - Name: deeplabv3_r101-d8_480x480_40k_pascal_context
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -418,7 +418,7 @@ Models:
  - Name: deeplabv3_r101-d8_480x480_80k_pascal_context_59
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
--- a/configs/deeplabv3plus/metafile.yml
+++ b/configs/deeplabv3plus/metafile.yml
@ -12,7 +12,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x1024_40k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 3.94
+      inference time (ms/im): 253.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -26,7 +26,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x1024_40k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 2.60
+      inference time (ms/im): 384.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -40,7 +40,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_769x769_40k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.72
+      inference time (ms/im): 581.4
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -54,7 +54,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_769x769_40k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -68,7 +68,7 @@ Models:
  - Name: deeplabv3plus_r18-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 14.27
+      inference time (ms/im): 70.08
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -82,7 +82,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 3.94
+      inference time (ms/im): 253.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -96,7 +96,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 2.60
+      inference time (ms/im): 384.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -110,7 +110,7 @@ Models:
  - Name: deeplabv3plus_r18-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 5.74
+      inference time (ms/im): 174.22
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -124,7 +124,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.72
+      inference time (ms/im): 581.4
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -138,7 +138,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -152,7 +152,7 @@ Models:
  - Name: deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 7.48
+      inference time (ms/im): 133.69
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -166,7 +166,7 @@ Models:
  - Name: deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 7.48
+      inference time (ms/im): 133.69
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -180,7 +180,7 @@ Models:
  - Name: deeplabv3plus_r18b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 14.95
+      inference time (ms/im): 66.89
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -194,7 +194,7 @@ Models:
  - Name: deeplabv3plus_r50b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 3.94
+      inference time (ms/im): 253.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -208,7 +208,7 @@ Models:
  - Name: deeplabv3plus_r101b-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 2.60
+      inference time (ms/im): 384.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -222,7 +222,7 @@ Models:
  - Name: deeplabv3plus_r18b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 5.96
+      inference time (ms/im): 167.79
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -236,7 +236,7 @@ Models:
  - Name: deeplabv3plus_r50b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.72
+      inference time (ms/im): 581.4
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -250,7 +250,7 @@ Models:
  - Name: deeplabv3plus_r101b-d8_769x769_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 1.10
+      inference time (ms/im): 909.09
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -264,7 +264,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x512_80k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 21.01
+      inference time (ms/im): 47.6
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -278,7 +278,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x512_80k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 14.16
+      inference time (ms/im): 70.62
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -292,7 +292,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x512_160k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 21.01
+      inference time (ms/im): 47.6
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -306,7 +306,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x512_160k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 14.16
+      inference time (ms/im): 70.62
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -320,7 +320,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x512_20k_voc12aug
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 21
+      inference time (ms/im): 47.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -334,7 +334,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x512_20k_voc12aug
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -348,7 +348,7 @@ Models:
  - Name: deeplabv3plus_r50-d8_512x512_40k_voc12aug
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 21
+      inference time (ms/im): 47.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -362,7 +362,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x512_40k_voc12aug
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -376,7 +376,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_480x480_40k_pascal_context
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 9.09
+      inference time (ms/im): 110.01
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -390,7 +390,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_480x480_80k_pascal_context
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 9.09
+      inference time (ms/im): 110.01
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -404,7 +404,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_480x480_40k_pascal_context
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -418,7 +418,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_480x480_80k_pascal_context
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
--- a/configs/dmnet/metafile.yml
+++ b/configs/dmnet/metafile.yml
@ -10,7 +10,7 @@ Models:
  - Name: dmnet_r50-d8_512x1024_40k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 3.66
+      inference time (ms/im): 273.22
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -24,7 +24,7 @@ Models:
  - Name: dmnet_r101-d8_512x1024_40k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 2.54
+      inference time (ms/im): 393.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -38,7 +38,7 @@ Models:
  - Name: dmnet_r50-d8_769x769_40k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 1.57
+      inference time (ms/im): 636.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -52,7 +52,7 @@ Models:
  - Name: dmnet_r101-d8_769x769_40k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 1.01
+      inference time (ms/im): 990.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -66,7 +66,7 @@ Models:
  - Name: dmnet_r50-d8_512x1024_80k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 3.66
+      inference time (ms/im): 273.22
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -80,7 +80,7 @@ Models:
  - Name: dmnet_r101-d8_512x1024_80k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 2.54
+      inference time (ms/im): 393.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -94,7 +94,7 @@ Models:
  - Name: dmnet_r50-d8_769x769_80k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 1.57
+      inference time (ms/im): 636.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -108,7 +108,7 @@ Models:
  - Name: dmnet_r101-d8_769x769_80k_cityscapes
    In Collection: DMNet
    Metadata:
-      inference time (fps): 1.01
+      inference time (ms/im): 990.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -122,7 +122,7 @@ Models:
  - Name: dmnet_r50-d8_512x512_80k_ade20k
    In Collection: DMNet
    Metadata:
-      inference time (fps): 20.95
+      inference time (ms/im): 47.73
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -136,7 +136,7 @@ Models:
  - Name: dmnet_r101-d8_512x512_80k_ade20k
    In Collection: DMNet
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -150,7 +150,7 @@ Models:
  - Name: dmnet_r50-d8_512x512_160k_ade20k
    In Collection: DMNet
    Metadata:
-      inference time (fps): 20.95
+      inference time (ms/im): 47.73
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -164,7 +164,7 @@ Models:
  - Name: dmnet_r101-d8_512x512_160k_ade20k
    In Collection: DMNet
    Metadata:
-      inference time (fps): 13.88
+      inference time (ms/im): 72.05
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/dnlnet/metafile.yml
+++ b/configs/dnlnet/metafile.yml
@ -10,7 +10,7 @@ Models:
  - Name: dnl_r50-d8_512x1024_40k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 2.56
+      inference time (ms/im): 390.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -24,7 +24,7 @@ Models:
  - Name: dnl_r101-d8_512x1024_40k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.96
+      inference time (ms/im): 510.2
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -38,7 +38,7 @@ Models:
  - Name: dnl_r50-d8_769x769_40k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.50
+      inference time (ms/im): 666.67
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -52,7 +52,7 @@ Models:
  - Name: dnl_r101-d8_769x769_40k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.02
+      inference time (ms/im): 980.39
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -66,7 +66,7 @@ Models:
  - Name: dnl_r50-d8_512x1024_80k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 2.56
+      inference time (ms/im): 390.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -80,7 +80,7 @@ Models:
  - Name: dnl_r101-d8_512x1024_80k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.96
+      inference time (ms/im): 510.2
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -94,7 +94,7 @@ Models:
  - Name: dnl_r50-d8_769x769_80k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.50
+      inference time (ms/im): 666.67
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -108,7 +108,7 @@ Models:
  - Name: dnl_r101-d8_769x769_80k_cityscapes
    In Collection: dnl
    Metadata:
-      inference time (fps): 1.02
+      inference time (ms/im): 980.39
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -122,7 +122,7 @@ Models:
  - Name: dnl_r50-d8_512x512_80k_ade20k
    In Collection: dnl
    Metadata:
-      inference time (fps): 20.66
+      inference time (ms/im): 48.4
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -136,7 +136,7 @@ Models:
  - Name: dnl_r101-d8_512x512_80k_ade20k
    In Collection: dnl
    Metadata:
-      inference time (fps): 12.54
+      inference time (ms/im): 79.74
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -150,7 +150,7 @@ Models:
  - Name: dnl_r50-d8_512x512_160k_ade20k
    In Collection: dnl
    Metadata:
-      inference time (fps): 20.66
+      inference time (ms/im): 48.4
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -164,7 +164,7 @@ Models:
  - Name: dnl_r101-d8_512x512_160k_ade20k
    In Collection: dnl
    Metadata:
-      inference time (fps): 12.54
+      inference time (ms/im): 79.74
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/emanet/metafile.yml
+++ b/configs/emanet/metafile.yml
@ -9,7 +9,7 @@ Models:
  - Name: emanet_r50-d8_512x1024_80k_cityscapes
    In Collection: EMANet
    Metadata:
-      inference time (fps): 4.58
+      inference time (ms/im): 218.34
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -23,7 +23,7 @@ Models:
  - Name: emanet_r101-d8_512x1024_80k_cityscapes
    In Collection: EMANet
    Metadata:
-      inference time (fps): 2.87
+      inference time (ms/im): 348.43
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -37,7 +37,7 @@ Models:
  - Name: emanet_r50-d8_769x769_80k_cityscapes
    In Collection: EMANet
    Metadata:
-      inference time (fps): 1.97
+      inference time (ms/im): 507.61
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -51,7 +51,7 @@ Models:
  - Name: emanet_r101-d8_769x769_80k_cityscapes
    In Collection: EMANet
    Metadata:
-      inference time (fps): 1.22
+      inference time (ms/im): 819.67
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
--- a/configs/encnet/metafile.yml
+++ b/configs/encnet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: encnet_r50-d8_512x1024_40k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 4.58
+      inference time (ms/im): 218.34
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: encnet_r101-d8_512x1024_40k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: encnet_r50-d8_769x769_40k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 1.82
+      inference time (ms/im): 549.45
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: encnet_r101-d8_769x769_40k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 1.26
+      inference time (ms/im): 793.65
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: encnet_r50-d8_512x1024_80k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 4.58
+      inference time (ms/im): 218.34
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: encnet_r101-d8_512x1024_80k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: encnet_r50-d8_769x769_80k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 1.82
+      inference time (ms/im): 549.45
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: encnet_r101-d8_769x769_80k_cityscapes
    In Collection: encnet
    Metadata:
-      inference time (fps): 1.26
+      inference time (ms/im): 793.65
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: encnet_r50-d8_512x512_80k_ade20k
    In Collection: encnet
    Metadata:
-      inference time (fps): 22.81
+      inference time (ms/im): 43.84
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: encnet_r101-d8_512x512_80k_ade20k
    In Collection: encnet
    Metadata:
-      inference time (fps): 14.87
+      inference time (ms/im): 67.25
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: encnet_r50-d8_512x512_160k_ade20k
    In Collection: encnet
    Metadata:
-      inference time (fps): 22.81
+      inference time (ms/im): 43.84
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: encnet_r101-d8_512x512_160k_ade20k
    In Collection: encnet
    Metadata:
-      inference time (fps): 14.87
+      inference time (ms/im): 67.25
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/fastscnn/metafile.yml
+++ b/configs/fastscnn/metafile.yml
@ -9,7 +9,7 @@ Models:
  - Name: fast_scnn_4x8_80k_lr0.12_cityscapes
    In Collection: Fast-SCNN
    Metadata:
-      inference time (fps): 63.61
+      inference time (ms/im): 15.72
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
--- a/configs/fcn/metafile.yml
+++ b/configs/fcn/metafile.yml
@ -19,7 +19,7 @@ Models:
  - Name: fcn_r50-d8_512x1024_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 4.17
+      inference time (ms/im): 239.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -33,7 +33,7 @@ Models:
  - Name: fcn_r101-d8_512x1024_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -47,7 +47,7 @@ Models:
  - Name: fcn_r50-d8_769x769_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.80
+      inference time (ms/im): 555.56
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -61,7 +61,7 @@ Models:
  - Name: fcn_r101-d8_769x769_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.19
+      inference time (ms/im): 840.34
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -75,7 +75,7 @@ Models:
  - Name: fcn_r18-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.65
+      inference time (ms/im): 68.26
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -89,7 +89,7 @@ Models:
  - Name: fcn_r50-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 4.17
+      inference time (ms/im): 239.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -103,7 +103,7 @@ Models:
  - Name: fcn_r101-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 2.66
+      inference time (ms/im): 375.94
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -117,7 +117,7 @@ Models:
  - Name: fcn_r18-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 6.40
+      inference time (ms/im): 156.25
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -131,7 +131,7 @@ Models:
  - Name: fcn_r50-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.80
+      inference time (ms/im): 555.56
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -145,7 +145,7 @@ Models:
  - Name: fcn_r101-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.19
+      inference time (ms/im): 840.34
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -159,7 +159,7 @@ Models:
  - Name: fcn_r18b-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 16.74
+      inference time (ms/im): 59.74
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -173,7 +173,7 @@ Models:
  - Name: fcn_r50b-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 4.20
+      inference time (ms/im): 238.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -187,7 +187,7 @@ Models:
  - Name: fcn_r101b-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 2.73
+      inference time (ms/im): 366.3
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -201,7 +201,7 @@ Models:
  - Name: fcn_r18b-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 6.70
+      inference time (ms/im): 149.25
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -215,7 +215,7 @@ Models:
  - Name: fcn_r50b-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.82
+      inference time (ms/im): 549.45
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -229,7 +229,7 @@ Models:
  - Name: fcn_r101b-d8_769x769_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -243,7 +243,7 @@ Models:
  - Name: fcn_d6_r50-d16_512x1024_40k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 10.22
+      inference time (ms/im): 97.85
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -257,7 +257,7 @@ Models:
  - Name: fcn_d6_r50-d16_512x1024_80k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 10.35
+      inference time (ms/im): 96.62
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -271,7 +271,7 @@ Models:
  - Name: fcn_d6_r50-d16_769x769_40k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 4.17
+      inference time (ms/im): 239.81
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -285,7 +285,7 @@ Models:
  - Name: fcn_d6_r50-d16_769x769_80k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 4.15
+      inference time (ms/im): 240.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -299,7 +299,7 @@ Models:
  - Name: fcn_d6_r101-d16_512x1024_40k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 8.04
+      inference time (ms/im): 124.38
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -313,7 +313,7 @@ Models:
  - Name: fcn_d6_r101-d16_512x1024_80k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 8.26
+      inference time (ms/im): 121.07
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -327,7 +327,7 @@ Models:
  - Name: fcn_d6_r101-d16_769x769_40k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 3.12
+      inference time (ms/im): 320.51
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -341,7 +341,7 @@ Models:
  - Name: fcn_d6_r101-d16_769x769_80k_cityscapes
    In Collection: FCN-D6
    Metadata:
-      inference time (fps): 3.21
+      inference time (ms/im): 311.53
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -355,7 +355,7 @@ Models:
  - Name: fcn_r50-d8_512x512_80k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.49
+      inference time (ms/im): 42.57
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -369,7 +369,7 @@ Models:
  - Name: fcn_r101-d8_512x512_80k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.78
+      inference time (ms/im): 67.66
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -383,7 +383,7 @@ Models:
  - Name: fcn_r50-d8_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.49
+      inference time (ms/im): 42.57
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -397,7 +397,7 @@ Models:
  - Name: fcn_r101-d8_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.78
+      inference time (ms/im): 67.66
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -411,7 +411,7 @@ Models:
  - Name: fcn_r50-d8_512x512_20k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.28
+      inference time (ms/im): 42.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -425,7 +425,7 @@ Models:
  - Name: fcn_r101-d8_512x512_20k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.81
+      inference time (ms/im): 67.52
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -439,7 +439,7 @@ Models:
  - Name: fcn_r50-d8_512x512_40k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.28
+      inference time (ms/im): 42.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -453,7 +453,7 @@ Models:
  - Name: fcn_r101-d8_512x512_40k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.81
+      inference time (ms/im): 67.52
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -467,7 +467,7 @@ Models:
  - Name: fcn_r101-d8_480x480_40k_pascal_context
    In Collection: FCN
    Metadata:
-      inference time (fps): 9.93
+      inference time (ms/im): 100.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -481,7 +481,7 @@ Models:
  - Name: fcn_r101-d8_480x480_80k_pascal_context
    In Collection: FCN
    Metadata:
-      inference time (fps): 9.93
+      inference time (ms/im): 100.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -495,7 +495,7 @@ Models:
  - Name: fcn_r101-d8_480x480_40k_pascal_context_59
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -509,7 +509,7 @@ Models:
  - Name: fcn_r101-d8_480x480_80k_pascal_context_59
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
--- a/configs/fp16/metafile.yml
+++ b/configs/fp16/metafile.yml
@ -4,7 +4,7 @@ Models:
  - Name: fcn_r101-d8_512x1024_80k_fp16_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 8.64
+      inference time (ms/im): 115.74
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -18,7 +18,7 @@ Models:
  - Name: pspnet_r101-d8_512x1024_80k_fp16_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 8.77
+      inference time (ms/im): 114.03
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -32,7 +32,7 @@ Models:
  - Name: deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 3.86
+      inference time (ms/im): 259.07
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -46,7 +46,7 @@ Models:
  - Name: deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 7.87
+      inference time (ms/im): 127.06
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
--- a/configs/gcnet/metafile.yml
+++ b/configs/gcnet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: gcnet_r50-d8_512x1024_40k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 3.93
+      inference time (ms/im): 254.45
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: gcnet_r101-d8_512x1024_40k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 2.61
+      inference time (ms/im): 383.14
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: gcnet_r50-d8_769x769_40k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 1.67
+      inference time (ms/im): 598.8
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: gcnet_r101-d8_769x769_40k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 1.13
+      inference time (ms/im): 884.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: gcnet_r50-d8_512x1024_80k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 3.93
+      inference time (ms/im): 254.45
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: gcnet_r101-d8_512x1024_80k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 2.61
+      inference time (ms/im): 383.14
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: gcnet_r50-d8_769x769_80k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 1.67
+      inference time (ms/im): 598.8
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: gcnet_r101-d8_769x769_80k_cityscapes
    In Collection: GCNet
    Metadata:
-      inference time (fps): 1.13
+      inference time (ms/im): 884.96
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: gcnet_r50-d8_512x512_80k_ade20k
    In Collection: GCNet
    Metadata:
-      inference time (fps): 23.38
+      inference time (ms/im): 42.77
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: gcnet_r101-d8_512x512_80k_ade20k
    In Collection: GCNet
    Metadata:
-      inference time (fps): 15.20
+      inference time (ms/im): 65.79
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: gcnet_r50-d8_512x512_160k_ade20k
    In Collection: GCNet
    Metadata:
-      inference time (fps): 23.38
+      inference time (ms/im): 42.77
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: gcnet_r101-d8_512x512_160k_ade20k
    In Collection: GCNet
    Metadata:
-      inference time (fps): 15.20
+      inference time (ms/im): 65.79
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: gcnet_r50-d8_512x512_20k_voc12aug
    In Collection: GCNet
    Metadata:
-      inference time (fps): 23.35
+      inference time (ms/im): 42.83
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: gcnet_r101-d8_512x512_20k_voc12aug
    In Collection: GCNet
    Metadata:
-      inference time (fps): 14.80
+      inference time (ms/im): 67.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: gcnet_r50-d8_512x512_40k_voc12aug
    In Collection: GCNet
    Metadata:
-      inference time (fps): 23.35
+      inference time (ms/im): 42.83
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: gcnet_r101-d8_512x512_40k_voc12aug
    In Collection: GCNet
    Metadata:
-      inference time (fps): 14.80
+      inference time (ms/im): 67.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/hrnet/metafile.yml
+++ b/configs/hrnet/metafile.yml
@ -2,7 +2,7 @@ Models:
  - Name: fcn_hr18s_512x1024_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.74
+      inference time (ms/im): 42.12
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -16,7 +16,7 @@ Models:
  - Name: fcn_hr18_512x1024_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 12.97
+      inference time (ms/im): 77.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -30,7 +30,7 @@ Models:
  - Name: fcn_hr48_512x1024_40k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 6.42
+      inference time (ms/im): 155.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -44,7 +44,7 @@ Models:
  - Name: fcn_hr18s_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.74
+      inference time (ms/im): 42.12
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -58,7 +58,7 @@ Models:
  - Name: fcn_hr18_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 12.97
+      inference time (ms/im): 77.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -72,7 +72,7 @@ Models:
  - Name: fcn_hr48_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 6.42
+      inference time (ms/im): 155.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -86,7 +86,7 @@ Models:
  - Name: fcn_hr18s_512x1024_160k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.74
+      inference time (ms/im): 42.12
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -100,7 +100,7 @@ Models:
  - Name: fcn_hr18_512x1024_160k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 12.97
+      inference time (ms/im): 77.1
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -114,7 +114,7 @@ Models:
  - Name: fcn_hr48_512x1024_160k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 6.42
+      inference time (ms/im): 155.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -128,7 +128,7 @@ Models:
  - Name: fcn_hr18s_512x512_80k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 38.66
+      inference time (ms/im): 25.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -142,7 +142,7 @@ Models:
  - Name: fcn_hr18_512x512_80k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 22.57
+      inference time (ms/im): 44.31
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -156,7 +156,7 @@ Models:
  - Name: fcn_hr48_512x512_80k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 21.23
+      inference time (ms/im): 47.1
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -170,7 +170,7 @@ Models:
  - Name: fcn_hr18s_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 38.66
+      inference time (ms/im): 25.87
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -184,7 +184,7 @@ Models:
  - Name: fcn_hr18_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 22.57
+      inference time (ms/im): 44.31
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -198,7 +198,7 @@ Models:
  - Name: fcn_hr48_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 21.23
+      inference time (ms/im): 47.1
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -212,7 +212,7 @@ Models:
  - Name: fcn_hr18s_512x512_20k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 43.36
+      inference time (ms/im): 23.06
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -226,7 +226,7 @@ Models:
  - Name: fcn_hr18_512x512_20k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.48
+      inference time (ms/im): 42.59
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -240,7 +240,7 @@ Models:
  - Name: fcn_hr48_512x512_20k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 22.05
+      inference time (ms/im): 45.35
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -254,7 +254,7 @@ Models:
  - Name: fcn_hr18s_512x512_40k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 43.36
+      inference time (ms/im): 23.06
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -268,7 +268,7 @@ Models:
  - Name: fcn_hr18_512x512_40k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 23.48
+      inference time (ms/im): 42.59
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -282,7 +282,7 @@ Models:
  - Name: fcn_hr48_512x512_40k_voc12aug
    In Collection: FCN
    Metadata:
-      inference time (fps): 22.05
+      inference time (ms/im): 45.35
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -296,7 +296,7 @@ Models:
  - Name: fcn_hr48_480x480_40k_pascal_context
    In Collection: FCN
    Metadata:
-      inference time (fps): 8.86
+      inference time (ms/im): 112.87
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -310,7 +310,7 @@ Models:
  - Name: fcn_hr48_480x480_80k_pascal_context
    In Collection: FCN
    Metadata:
-      inference time (fps): 8.86
+      inference time (ms/im): 112.87
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -324,7 +324,7 @@ Models:
  - Name: fcn_hr48_480x480_40k_pascal_context_59
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -338,7 +338,7 @@ Models:
  - Name: fcn_hr48_480x480_80k_pascal_context
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
--- a/configs/mobilenet_v2/metafile.yml
+++ b/configs/mobilenet_v2/metafile.yml
@ -4,7 +4,7 @@ Models:
  - Name: fcn_m-v2-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 14.2
+      inference time (ms/im): 70.42
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -18,7 +18,7 @@ Models:
  - Name: pspnet_m-v2-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 11.2
+      inference time (ms/im): 89.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -32,7 +32,7 @@ Models:
  - Name: deeplabv3_m-v2-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 8.4
+      inference time (ms/im): 119.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -46,7 +46,7 @@ Models:
  - Name: deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 8.4
+      inference time (ms/im): 119.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -60,7 +60,7 @@ Models:
  - Name: fcn_m-v2-d8_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 64.4
+      inference time (ms/im): 15.53
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -74,7 +74,7 @@ Models:
  - Name: pspnet_m-v2-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 57.7
+      inference time (ms/im): 17.33
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -88,7 +88,7 @@ Models:
  - Name: deeplabv3_m-v2-d8_512x512_160k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 39.9
+      inference time (ms/im): 25.06
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -102,7 +102,7 @@ Models:
  - Name: deeplabv3plus_m-v2-d8_512x512_160k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 43.1
+      inference time (ms/im): 23.2
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/mobilenet_v3/metafile.yml
+++ b/configs/mobilenet_v3/metafile.yml
@ -9,7 +9,7 @@ Models:
  - Name: lraspp_m-v3-d8_512x1024_320k_cityscapes
    In Collection: LRASPP
    Metadata:
-      inference time (fps): 15.22
+      inference time (ms/im): 65.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -23,7 +23,7 @@ Models:
  - Name: lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes
    In Collection: LRASPP
    Metadata:
-      inference time (fps): 14.77
+      inference time (ms/im): 67.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -37,7 +37,7 @@ Models:
  - Name: lraspp_m-v3s-d8_512x1024_320k_cityscapes
    In Collection: LRASPP
    Metadata:
-      inference time (fps): 23.64
+      inference time (ms/im): 42.3
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -51,7 +51,7 @@ Models:
  - Name: lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes
    In Collection: LRASPP
    Metadata:
-      inference time (fps): 24.50
+      inference time (ms/im): 40.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
--- a/configs/nonlocal_net/metafile.yml
+++ b/configs/nonlocal_net/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: nonlocal_r50-d8_512x1024_40k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 2.72
+      inference time (ms/im): 367.65
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: nonlocal_r101-d8_512x1024_40k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.95
+      inference time (ms/im): 512.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: nonlocal_r50-d8_769x769_40k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.52
+      inference time (ms/im): 657.89
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: nonlocal_r101-d8_769x769_40k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.05
+      inference time (ms/im): 952.38
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: nonlocal_r50-d8_512x1024_80k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 2.72
+      inference time (ms/im): 367.65
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: nonlocal_r101-d8_512x1024_80k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.95
+      inference time (ms/im): 512.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: nonlocal_r50-d8_769x769_80k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.52
+      inference time (ms/im): 657.89
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: nonlocal_r101-d8_769x769_80k_cityscapes
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 1.05
+      inference time (ms/im): 952.38
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: nonlocal_r50-d8_512x512_80k_ade20k
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 21.37
+      inference time (ms/im): 46.79
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: nonlocal_r101-d8_512x512_80k_ade20k
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 13.97
+      inference time (ms/im): 71.58
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: nonlocal_r50-d8_512x512_160k_ade20k
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 21.37
+      inference time (ms/im): 46.79
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: nonlocal_r101-d8_512x512_160k_ade20k
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 13.97
+      inference time (ms/im): 71.58
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: nonlocal_r50-d8_512x512_20k_voc12aug
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 21.21
+      inference time (ms/im): 47.15
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: nonlocal_r101-d8_512x512_20k_voc12aug
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 14.01
+      inference time (ms/im): 71.38
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: nonlocal_r50-d8_512x512_40k_voc12aug
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 21.21
+      inference time (ms/im): 47.15
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: nonlocal_r101-d8_512x512_40k_voc12aug
    In Collection: NonLocal
    Metadata:
-      inference time (fps): 14.01
+      inference time (ms/im): 71.38
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/ocrnet/metafile.yml
+++ b/configs/ocrnet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: ocrnet_hr18s_512x1024_40k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 10.45
+      inference time (ms/im): 95.69
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: ocrnet_hr18_512x1024_40k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 7.50
+      inference time (ms/im): 133.33
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: ocrnet_hr48_512x1024_40k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 4.22
+      inference time (ms/im): 236.97
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: ocrnet_hr18s_512x1024_80k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 10.45
+      inference time (ms/im): 95.69
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: ocrnet_hr18_512x1024_80k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 7.50
+      inference time (ms/im): 133.33
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: ocrnet_hr48_512x1024_80k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 4.22
+      inference time (ms/im): 236.97
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: ocrnet_hr18s_512x1024_160k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 10.45
+      inference time (ms/im): 95.69
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: ocrnet_hr18_512x1024_160k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 7.50
+      inference time (ms/im): 133.33
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: ocrnet_hr48_512x1024_160k_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 4.22
+      inference time (ms/im): 236.97
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -137,7 +137,7 @@ Models:
  - Name: ocrnet_r101-d8_512x1024_40k_b8_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -151,7 +151,7 @@ Models:
  - Name: ocrnet_r101-d8_512x1024_40k_b16_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 8.8
+      inference time (ms/im): 113.64
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -165,7 +165,7 @@ Models:
  - Name: ocrnet_r101-d8_512x1024_80k_b16_cityscapes
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 8.8
+      inference time (ms/im): 113.64
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -179,7 +179,7 @@ Models:
  - Name: ocrnet_hr18s_512x512_80k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 28.98
+      inference time (ms/im): 34.51
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -193,7 +193,7 @@ Models:
  - Name: ocrnet_hr18_512x512_80k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 18.93
+      inference time (ms/im): 52.83
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -207,7 +207,7 @@ Models:
  - Name: ocrnet_hr48_512x512_80k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 16.99
+      inference time (ms/im): 58.86
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -221,7 +221,7 @@ Models:
  - Name: ocrnet_hr18s_512x512_160k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 28.98
+      inference time (ms/im): 34.51
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -235,7 +235,7 @@ Models:
  - Name: ocrnet_hr18_512x512_160k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 18.93
+      inference time (ms/im): 52.83
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -249,7 +249,7 @@ Models:
  - Name: ocrnet_hr48_512x512_160k_ade20k
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 16.99
+      inference time (ms/im): 58.86
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -263,7 +263,7 @@ Models:
  - Name: ocrnet_hr18s_512x512_20k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 31.55
+      inference time (ms/im): 31.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -277,7 +277,7 @@ Models:
  - Name: ocrnet_hr18_512x512_20k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 19.91
+      inference time (ms/im): 50.23
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -291,7 +291,7 @@ Models:
  - Name: ocrnet_hr48_512x512_20k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 17.83
+      inference time (ms/im): 56.09
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -305,7 +305,7 @@ Models:
  - Name: ocrnet_hr18s_512x512_40k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 31.55
+      inference time (ms/im): 31.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -319,7 +319,7 @@ Models:
  - Name: ocrnet_hr18_512x512_40k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 19.91
+      inference time (ms/im): 50.23
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -333,7 +333,7 @@ Models:
  - Name: ocrnet_hr48_512x512_40k_voc12aug
    In Collection: OCRNet
    Metadata:
-      inference time (fps): 17.83
+      inference time (ms/im): 56.09
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/point_rend/metafile.yml
+++ b/configs/point_rend/metafile.yml
@ -10,7 +10,7 @@ Models:
  - Name: pointrend_r50_512x1024_80k_cityscapes
    In Collection: PointRend
    Metadata:
-      inference time (fps): 8.48
+      inference time (ms/im): 117.92
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -24,7 +24,7 @@ Models:
  - Name: pointrend_r101_512x1024_80k_cityscapes
    In Collection: PointRend
    Metadata:
-      inference time (fps): 7.00
+      inference time (ms/im): 142.86
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -38,7 +38,7 @@ Models:
  - Name: pointrend_r50_512x512_160k_ade20k
    In Collection: PointRend
    Metadata:
-      inference time (fps): 17.31
+      inference time (ms/im): 57.77
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -52,7 +52,7 @@ Models:
  - Name: pointrend_r101_512x512_160k_ade20k
    In Collection: PointRend
    Metadata:
-      inference time (fps): 15.50
+      inference time (ms/im): 64.52
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/psanet/metafile.yml
+++ b/configs/psanet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: psanet_r50-d8_512x1024_40k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 3.17
+      inference time (ms/im): 315.46
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: psanet_r101-d8_512x1024_40k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 2.20
+      inference time (ms/im): 454.55
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: psanet_r50-d8_769x769_40k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 1.40
+      inference time (ms/im): 714.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: psanet_r101-d8_769x769_40k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 0.98
+      inference time (ms/im): 1020.41
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: psanet_r50-d8_512x1024_80k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 3.17
+      inference time (ms/im): 315.46
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: psanet_r101-d8_512x1024_80k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 2.20
+      inference time (ms/im): 454.55
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: psanet_r50-d8_769x769_80k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 1.40
+      inference time (ms/im): 714.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: psanet_r101-d8_769x769_80k_cityscapes
    In Collection: PSANet
    Metadata:
-      inference time (fps): 0.98
+      inference time (ms/im): 1020.41
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: psanet_r50-d8_512x512_80k_ade20k
    In Collection: PSANet
    Metadata:
-      inference time (fps): 18.91
+      inference time (ms/im): 52.88
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: psanet_r101-d8_512x512_80k_ade20k
    In Collection: PSANet
    Metadata:
-      inference time (fps): 13.13
+      inference time (ms/im): 76.16
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: psanet_r50-d8_512x512_160k_ade20k
    In Collection: PSANet
    Metadata:
-      inference time (fps): 18.91
+      inference time (ms/im): 52.88
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: psanet_r101-d8_512x512_160k_ade20k
    In Collection: PSANet
    Metadata:
-      inference time (fps): 13.13
+      inference time (ms/im): 76.16
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: psanet_r50-d8_512x512_20k_voc12aug
    In Collection: PSANet
    Metadata:
-      inference time (fps): 18.24
+      inference time (ms/im): 54.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: psanet_r101-d8_512x512_20k_voc12aug
    In Collection: PSANet
    Metadata:
-      inference time (fps): 12.63
+      inference time (ms/im): 79.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: psanet_r50-d8_512x512_40k_voc12aug
    In Collection: PSANet
    Metadata:
-      inference time (fps): 18.24
+      inference time (ms/im): 54.82
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: psanet_r101-d8_512x512_40k_voc12aug
    In Collection: PSANet
    Metadata:
-      inference time (fps): 12.63
+      inference time (ms/im): 79.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
--- a/configs/pspnet/metafile.yml
+++ b/configs/pspnet/metafile.yml
@ -12,7 +12,7 @@ Models:
  - Name: pspnet_r50-d8_512x1024_40k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 4.07
+      inference time (ms/im): 245.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -26,7 +26,7 @@ Models:
  - Name: pspnet_r101-d8_512x1024_40k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 2.68
+      inference time (ms/im): 373.13
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -40,7 +40,7 @@ Models:
  - Name: pspnet_r50-d8_769x769_40k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.76
+      inference time (ms/im): 568.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -54,7 +54,7 @@ Models:
  - Name: pspnet_r101-d8_769x769_40k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -68,7 +68,7 @@ Models:
  - Name: pspnet_r18-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 15.71
+      inference time (ms/im): 63.65
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -82,7 +82,7 @@ Models:
  - Name: pspnet_r50-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 4.07
+      inference time (ms/im): 245.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -96,7 +96,7 @@ Models:
  - Name: pspnet_r101-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 2.68
+      inference time (ms/im): 373.13
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -110,7 +110,7 @@ Models:
  - Name: pspnet_r18-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 6.20
+      inference time (ms/im): 161.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -124,7 +124,7 @@ Models:
  - Name: pspnet_r50-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.76
+      inference time (ms/im): 568.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -138,7 +138,7 @@ Models:
  - Name: pspnet_r101-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.15
+      inference time (ms/im): 869.57
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -152,7 +152,7 @@ Models:
  - Name: pspnet_r18b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 16.28
+      inference time (ms/im): 61.43
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -166,7 +166,7 @@ Models:
  - Name: pspnet_r50b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 4.30
+      inference time (ms/im): 232.56
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -180,7 +180,7 @@ Models:
  - Name: pspnet_r101b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 2.76
+      inference time (ms/im): 362.32
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -194,7 +194,7 @@ Models:
  - Name: pspnet_r18b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 6.41
+      inference time (ms/im): 156.01
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -208,7 +208,7 @@ Models:
  - Name: pspnet_r50b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.88
+      inference time (ms/im): 531.91
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -222,7 +222,7 @@ Models:
  - Name: pspnet_r101b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 1.17
+      inference time (ms/im): 854.7
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -236,7 +236,7 @@ Models:
  - Name: pspnet_r50-d8_512x512_80k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 23.53
+      inference time (ms/im): 42.5
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -250,7 +250,7 @@ Models:
  - Name: pspnet_r101-d8_512x512_80k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 15.30
+      inference time (ms/im): 65.36
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -264,7 +264,7 @@ Models:
  - Name: pspnet_r50-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 23.53
+      inference time (ms/im): 42.5
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -278,7 +278,7 @@ Models:
  - Name: pspnet_r101-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 15.30
+      inference time (ms/im): 65.36
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -292,7 +292,7 @@ Models:
  - Name: pspnet_r50-d8_512x512_20k_voc12aug
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 23.59
+      inference time (ms/im): 42.39
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -306,7 +306,7 @@ Models:
  - Name: pspnet_r101-d8_512x512_20k_voc12aug
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 15.02
+      inference time (ms/im): 66.58
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -320,7 +320,7 @@ Models:
  - Name: pspnet_r50-d8_512x512_40k_voc12aug
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 23.59
+      inference time (ms/im): 42.39
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -334,7 +334,7 @@ Models:
  - Name: pspnet_r101-d8_512x512_40k_voc12aug
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 15.02
+      inference time (ms/im): 66.58
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -348,7 +348,7 @@ Models:
  - Name: pspnet_r101-d8_480x480_40k_pascal_context
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 9.68
+      inference time (ms/im): 103.31
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -362,7 +362,7 @@ Models:
  - Name: pspnet_r101-d8_480x480_80k_pascal_context
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 9.68
+      inference time (ms/im): 103.31
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -376,7 +376,7 @@ Models:
  - Name: pspnet_r101-d8_480x480_40k_pascal_context
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
@ -390,7 +390,7 @@ Models:
  - Name: pspnet_r101-d8_480x480_80k_pascal_context_59
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
--- a/configs/resnest/metafile.yml
+++ b/configs/resnest/metafile.yml
@ -10,7 +10,7 @@ Models:
  - Name: fcn_s101-d8_512x1024_80k_cityscapes
    In Collection: FCN
    Metadata:
-      inference time (fps): 2.39
+      inference time (ms/im): 418.41
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -24,7 +24,7 @@ Models:
  - Name: pspnet_s101-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 2.52
+      inference time (ms/im): 396.83
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -38,7 +38,7 @@ Models:
  - Name: deeplabv3_s101-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 1.88
+      inference time (ms/im): 531.91
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -52,7 +52,7 @@ Models:
  - Name: deeplabv3plus_s101-d8_512x1024_80k_cityscapes
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 2.36
+      inference time (ms/im): 423.73
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -66,7 +66,7 @@ Models:
  - Name: fcn_s101-d8_512x512_160k_ade20k
    In Collection: FCN
    Metadata:
-      inference time (fps): 12.86
+      inference time (ms/im): 77.76
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -80,7 +80,7 @@ Models:
  - Name: pspnet_s101-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
-      inference time (fps): 13.02
+      inference time (ms/im): 76.8
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -94,7 +94,7 @@ Models:
  - Name: deeplabv3_s101-d8_512x512_160k_ade20k
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): 9.28
+      inference time (ms/im): 107.76
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -108,7 +108,7 @@ Models:
  - Name: deeplabv3plus_s101-d8_512x512_160k_ade20k
    In Collection: DeepLabV3+
    Metadata:
-      inference time (fps): 11.96
+      inference time (ms/im): 83.61
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/sem_fpn/metafile.yml
+++ b/configs/sem_fpn/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: fpn_r50_512x1024_80k_cityscapes
    In Collection: FPN
    Metadata:
-      inference time (fps): 13.54
+      inference time (ms/im): 73.86
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: fpn_r101_512x1024_80k_cityscapes
    In Collection: FPN
    Metadata:
-      inference time (fps): 10.29
+      inference time (ms/im): 97.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: fpn_r50_512x512_160k_ade20k
    In Collection: FPN
    Metadata:
-      inference time (fps): 55.77
+      inference time (ms/im): 17.93
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -53,7 +53,7 @@ Models:
  - Name: fpn_r101_512x512_160k_ade20k
    In Collection: FPN
    Metadata:
-      inference time (fps): 40.58
+      inference time (ms/im): 24.64
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
--- a/configs/unet/metafile.yml
+++ b/configs/unet/metafile.yml
@ -3,7 +3,7 @@ Models:
  - Name: fcn_unet_s5-d16_64x64_40k_drive
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: DRIVE
@ -17,7 +17,7 @@ Models:
  - Name: pspnet_unet_s5-d16_64x64_40k_drive
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: DRIVE
@ -31,7 +31,7 @@ Models:
  - Name: deeplabv3_unet_s5-d16_64x64_40k_drive
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: DRIVE
@ -45,7 +45,7 @@ Models:
  - Name: fcn_unet_s5-d16_128x128_40k_stare
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: STARE
@ -59,7 +59,7 @@ Models:
  - Name: pspnet_unet_s5-d16_128x128_40k_stare
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: STARE
@ -73,7 +73,7 @@ Models:
  - Name: deeplabv3_unet_s5-d16_128x128_40k_stare
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: STARE
@ -87,7 +87,7 @@ Models:
  - Name: fcn_unet_s5-d16_128x128_40k_chase_db1
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: CHASE_DB1
@ -101,7 +101,7 @@ Models:
  - Name: pspnet_unet_s5-d16_128x128_40k_chase_db1
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: CHASE_DB1
@ -115,7 +115,7 @@ Models:
  - Name: deeplabv3_unet_s5-d16_128x128_40k_chase_db1
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: CHASE_DB1
@ -129,7 +129,7 @@ Models:
  - Name: fcn_unet_s5-d16_256x256_40k_hrf
    In Collection: FCN
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: HRF
@ -143,7 +143,7 @@ Models:
  - Name: pspnet_unet_s5-d16_256x256_40k_hrf
    In Collection: PSPNet
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: HRF
@ -157,7 +157,7 @@ Models:
  - Name: deeplabv3_unet_s5-d16_256x256_40k_hrf
    In Collection: DeepLabV3
    Metadata:
-      inference time (fps): None
+      inference time (ms/im): None
    Results:
      - Task: Semantic Segmentation
        Dataset: HRF
--- a/configs/upernet/metafile.yml
+++ b/configs/upernet/metafile.yml
@ -11,7 +11,7 @@ Models:
  - Name: upernet_r50_512x1024_40k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 4.25
+      inference time (ms/im): 235.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -25,7 +25,7 @@ Models:
  - Name: upernet_r101_512x1024_40k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 3.79
+      inference time (ms/im): 263.85
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -39,7 +39,7 @@ Models:
  - Name: upernet_r50_769x769_40k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 1.76
+      inference time (ms/im): 568.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -53,7 +53,7 @@ Models:
  - Name: upernet_r101_769x769_40k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 1.56
+      inference time (ms/im): 641.03
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -67,7 +67,7 @@ Models:
  - Name: upernet_r50_512x1024_80k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 4.25
+      inference time (ms/im): 235.29
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -81,7 +81,7 @@ Models:
  - Name: upernet_r101_512x1024_80k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 3.79
+      inference time (ms/im): 263.85
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -95,7 +95,7 @@ Models:
  - Name: upernet_r50_769x769_80k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 1.76
+      inference time (ms/im): 568.18
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -109,7 +109,7 @@ Models:
  - Name: upernet_r101_769x769_80k_cityscapes
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 1.56
+      inference time (ms/im): 641.03
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
@ -123,7 +123,7 @@ Models:
  - Name: upernet_r50_512x512_80k_ade20k
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 23.40
+      inference time (ms/im): 42.74
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -137,7 +137,7 @@ Models:
  - Name: upernet_r101_512x512_80k_ade20k
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 20.34
+      inference time (ms/im): 49.16
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -151,7 +151,7 @@ Models:
  - Name: upernet_r50_512x512_160k_ade20k
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 23.40
+      inference time (ms/im): 42.74
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -165,7 +165,7 @@ Models:
  - Name: upernet_r101_512x512_160k_ade20k
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 20.34
+      inference time (ms/im): 49.16
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
@ -179,7 +179,7 @@ Models:
  - Name: upernet_r50_512x512_20k_voc12aug
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 23.17
+      inference time (ms/im): 43.16
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -193,7 +193,7 @@ Models:
  - Name: upernet_r101_512x512_20k_voc12aug
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 19.98
+      inference time (ms/im): 50.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -207,7 +207,7 @@ Models:
  - Name: upernet_r50_512x512_40k_voc12aug
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 23.17
+      inference time (ms/im): 43.16
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
@ -221,7 +221,7 @@ Models:
  - Name: upernet_r101_512x512_40k_voc12aug
    In Collection: UPerNet
    Metadata:
-      inference time (fps): 19.98
+      inference time (ms/im): 50.05
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug