diff --git a/configs/textdet/panet/README.md b/configs/textdet/panet/README.md
index b4290bf6..c9a03091 100644
--- a/configs/textdet/panet/README.md
+++ b/configs/textdet/panet/README.md
@@ -20,16 +20,10 @@
 
 |                               Method                               | Pretrained Model | Training set  |   Test set   | #epochs | Test size | Recall | Precision | Hmean |                                                                                                                     Download                                                                                                                      |
 | :----------------------------------------------------------------: | :--------------: | :-----------: | :----------: | :-----: | :-------: | :----: | :-------: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| [PANet](/configs/textdet/panet/panet_r18_fpem_ffm_600e_ctw1500.py) |     ImageNet     | CTW1500 Train | CTW1500 Test |   600   |    640    | 0.790  |   0.838   | 0.813 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_ctw1500_20210219-3b3a9aa3.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_ctw1500_20210219-3b3a9aa3.log.json) |
+| [PANet](/configs/textdet/panet/panet_r18_fpem_ffm_600e_ctw1500.py) |     ImageNet     | CTW1500 Train | CTW1500 Test |   600   |    640    | 0.776  |   0.838   | 0.806 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_ctw1500_20210219-3b3a9aa3.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_ctw1500_20210219-3b3a9aa3.log.json) |
 
 ### ICDAR2015
 
 |                                Method                                | Pretrained Model |  Training set   |    Test set    | #epochs | Test size | Recall | Precision | Hmean |                                                                                                                       Download                                                                                                                        |
 | :------------------------------------------------------------------: | :--------------: | :-------------: | :------------: | :-----: | :-------: | :----: | :-------: | :---: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 | [PANet](/configs/textdet/panet/panet_r18_fpem_ffm_600e_icdar2015.py) |     ImageNet     | ICDAR2015 Train | ICDAR2015 Test |   600   |    736    | 0.734  |   0.856   | 0.791 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_icdar2015_20210219-42dbe46a.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_icdar2015_20210219-42dbe46a.log.json) |
-
-### ICDAR2017
-
-|                                Method                                | Pretrained Model |  Training set   |   Test set    | #epochs | Test size | Recall | Precision | Hmean |                                                                                                                       Download                                                                                                                        |
-| :------------------------------------------------------------------: | :--------------: | :-------------: | :-----------: | :-----: | :-------: | :----: | :-------: | :---: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| [PANet](/configs/textdet/panet/panet_r50_fpem_ffm_600e_icdar2017.py) |     ImageNet     | ICDAR2017 Train | ICDAR2017 Val |   600   |    800    | 0.604  |   0.812   | 0.693 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_r50_fpem_ffm_sbn_600e_icdar2017_20210219-b4877a4f.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_r50_fpem_ffm_sbn_600e_icdar2017_20210219-b4877a4f.log.json) |