mmocr/configs/textdet/maskrcnn/metafile.yml

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YAML

Collections:
- Name: Mask R-CNN
Metadata:
Training Data: ICDAR2015 SCUT-CTW1500
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 1x NVIDIA A100-SXM4-80GB
Architecture:
- ResNet
- FPN
- RPN
Paper:
URL: https://arxiv.org/pdf/1703.06870.pdf
Title: 'Mask R-CNN'
README: configs/textdet/maskrcnn/README.md
Models:
- Name: mask-rcnn_resnet50_fpn_160e_ctw1500
In Collection: Mask R-CNN
Config: configs/textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_ctw1500.py
Metadata:
Training Data: CTW1500
Results:
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean: 0.7458
Weights: https://download.openmmlab.com/mmocr/textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_ctw1500/mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755-ce68ee8e.pth
- Name: mask-rcnn_resnet50_fpn_160e_icdar2015
In Collection: Mask R-CNN
Config: configs/textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_icdar2015.py
Metadata:
Training Data: ICDAR2015
Results:
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean: 0.8182
Weights: https://download.openmmlab.com/mmocr/textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_icdar2015/mask-rcnn_resnet50_fpn_160e_icdar2015_20220826_154808-ff5c30bf.pth