mirror of https://github.com/open-mmlab/mmocr.git
50 lines
1.6 KiB
YAML
50 lines
1.6 KiB
YAML
Collections:
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- Name: Mask R-CNN
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Metadata:
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Training Data: ICDARDataset
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Training Techniques:
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- SGD with Momentum
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Training Resources: 8x NVIDIA 1080Ti GPUs
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Architecture:
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- RoI Align
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- RPN
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Paper: https://arxiv.org/pdf/1703.06870.pdf
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README: configs/textdet/maskrcnn/README.md
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Models:
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- Name: mask_rcnn_r50_fpn_160e_ctw1500
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In Collection: Mask R-CNN
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Config: configs/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_ctw1500.py
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Metadata:
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Training Data: CTW1500
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Results:
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- Task: Instance Segmentation
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Dataset: CTW1500
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Metrics:
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hmean: 0.732
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Weights: https://download.openmmlab.com/mmocr/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_ctw1500_20210219-96497a76.pth
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- Name: mask_rcnn_r50_fpn_160e_icdar2015
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In Collection: Mask R-CNN
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Config: configs/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_icdar2015.py
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Metadata:
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Training Data: ICDAR2015
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Results:
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- Task: Instance Segmentation
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Dataset: ICDAR2015
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Metrics:
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hmean: 0.825
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Weights: https://download.openmmlab.com/mmocr/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_icdar2015_20210219-8eb340a3.pth
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- Name: mask_rcnn_r50_fpn_160e_icdar2017
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In Collection: Mask R-CNN
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Config: configs/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_icdar2017.py
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Metadata:
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Training Data: ICDAR2017
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Results:
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- Task: Instance Segmentation
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Dataset: ICDAR2017
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Metrics:
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hmean: 0.789
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Weights: https://download.openmmlab.com/mmocr/textdet/maskrcnn/mask_rcnn_r50_fpn_160e_icdar2017_20210218-c6ec3ebb.pth
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