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Collections:
- Name: TPS-CRNN
Metadata:
Training Data: OCRDataset
Training Techniques:
- Adadelta
Epochs: 5
Batch Size: 256
Training Resources: 4x GeForce GTX 1080 Ti
Architecture:
- TPSPreprocessor
- VeryDeepVgg
- CRNNDecoder
- CTCLoss
Paper:
URL: https://arxiv.org/pdf/1603.03915.pdf
Title: 'Robust Scene Text Recognition with Automatic Rectification'
README: configs/textrecog/tps/README.md
Models:
- Name: crnn_tps_academic_dataset
In Collection: TPS-CRNN
Config: configs/textrecog/tps/crnn_tps_academic_dataset.py
Metadata:
Training Data: Syn90k
Results:
- Task: Text Recognition
Dataset: IIIT5K
Metrics:
word_acc: 80.8
- Task: Text Recognition
Dataset: SVT
Metrics:
word_acc: 81.3
- Task: Text Recognition
Dataset: ICDAR2013
Metrics:
word_acc: 85.0
- Task: Text Recognition
Dataset: ICDAR2015
Metrics:
word_acc: 59.6
- Task: Text Recognition
Dataset: SVTP
Metrics:
word_acc: 68.1
- Task: Text Recognition
Dataset: CT80
Metrics:
word_acc: 53.8
Weights: https://download.openmmlab.com/mmocr/textrecog/tps/crnn_tps_academic_dataset_20210510-d221a905.pth
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