mmocr/configs/textdet/psenet/metafile.yml

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1.5 KiB
YAML

Collections:
- Name: PSENet
Metadata:
Training Data: ICDARDataset
Training Techniques:
- Adam
Training Resources: 8x NVIDIA 1080Ti GPUs
Architecture:
- ResNet
- FPNF
Paper: https://arxiv.org/abs/1806.02559.pdf
README: configs/textdet/psenet/README.md
Models:
- Name: psenet_r50_fpnf_600e_ctw1500
In Collection: PSENet
Config: configs/textdet/psenet/psenet_r50_fpnf_600e_ctw1500.py
Metadata:
Training Data: CTW1500
Results:
- Task: Instance Segmentation
Dataset: CTW1500
Metrics:
hmean-iou: 0.784
Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_r50_fpnf_600e_ctw1500_20210401-216fed50.pth
- Name: psenet_r50_fpnf_600e_icdar2015
In Collection: PSENet
Config: configs/textdet/psenet/psenet_r50_fpnf_600e_icdar2015.py
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.807
Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_r50_fpnf_600e_icdar2015-c6131f0d.pth
- Name: psenet_r50_fpnf_600e_icdar2015_with_pretrain
In Collection: PSENet
Config: configs/textdet/psenet/psenet_r50_fpnf_600e_icdar2015.py
Metadata:
Training Data: ICDAR2017
Results:
- Task: Instance Segmentation
Dataset: ICDAR2017
Metrics:
hmean-iou: 0.847
Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_r50_fpnf_600e_icdar2015_pretrain-eefd8fe6.pth