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Collections:
- Name: ASTER
Metadata:
Training Data: OCRDataset
Training Techniques:
- AdamW
Epochs: 6
Batch Size: 4096
Training Resources: 4 x NVIDIA A100-SXM4-80GB
Architecture:
- ResNet45
- ASTERDecoder
Paper:
URL: https://ieeexplore.ieee.org/abstract/document/8395027/
Title: 'ASTER: An Attentional Scene Text Recognizer with Flexible Rectification'
README: configs/textrecog/aster/README.md
Models:
- Name: aster_resnet45_6e_st_mj
Alias: ASTER
In Collection: ASTER
Config: configs/textrecog/aster/aster_resnet45_6e_st_mj.py
Metadata:
Training Data:
- SynthText
- Syn90k
Results:
- Task: Text Recognition
Dataset: IIIT5K
Metrics:
word_acc: 0.9357
- Task: Text Recognition
Dataset: SVT
Metrics:
word_acc: 0.8949
- Task: Text Recognition
Dataset: ICDAR2013
Metrics:
word_acc: 0.9281
- Task: Text Recognition
Dataset: ICDAR2015
Metrics:
word_acc: 0.7665
- Task: Text Recognition
Dataset: SVTP
Metrics:
word_acc: 0.8062
- Task: Text Recognition
Dataset: CT80
Metrics:
word_acc: 0.8507
Weights: https://download.openmmlab.com/mmocr/textrecog/aster/aster_resnet45_6e_st_mj/aster_resnet45_6e_st_mj-cc56eca4.pth
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