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Collections:
- Name: SegOCR
Metadata:
Training Data: mixture
Training Techniques:
- Adam
Epochs: 5
Batch Size: 64
Training Resources: 4x GeForce GTX 1080 Ti
Architecture:
- ResNet31OCR
- FPNOCR
Paper:
README: configs/textrecog/seg/README.md
Models:
- Name: seg_r31_1by16_fpnocr_academic
In Collection: SegOCR
Config: configs/textrecog/seg/seg_r31_1by16_fpnocr_academic.py
Metadata:
Training Data: SynthText
Results:
- Task: Text Recognition
Dataset: IIIT5K
Metrics:
word_acc: 90.9
- Task: Text Recognition
Dataset: SVT
Metrics:
word_acc: 81.8
- Task: Text Recognition
Dataset: ICDAR2013
Metrics:
word_acc: 90.7
- Task: Text Recognition
Dataset: CT80
Metrics:
word_acc: 80.9
Weights: https://download.openmmlab.com/mmocr/textrecog/seg/seg_r31_1by16_fpnocr_academic-72235b11.pth