MMOCR / configs /textdet /psenet /metafile.yml
tomofi's picture
Add application file
2366e36
raw
history blame
1.65 kB
Collections:
- Name: PSENet
Metadata:
Training Data: ICDAR SCUT-CTW1500
Training Techniques:
- Adam
Training Resources: 8x GeForce GTX 1080 Ti
Architecture:
- ResNet
- FPNF
Paper:
URL: https://arxiv.org/abs/1806.02559.pdf
Title: 'Shape Robust Text Detection with Progressive Scale Expansion Network'
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: Text Detection
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: Text Detection
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 ICDAR2015
Results:
- Task: Text Detection
Dataset: ICDAR2017 ICDAR2015
Metrics:
hmean-iou: 0.847
Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_r50_fpnf_600e_icdar2015_pretrain-eefd8fe6.pth