mirror of https://github.com/open-mmlab/mmocr.git
52 lines
1.3 KiB
YAML
52 lines
1.3 KiB
YAML
Collections:
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- Name: TPS-CRNN
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Metadata:
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Training Data: OCRDataset
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Training Techniques:
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- Adadelta
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Epochs: 5
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Batch Size: 256
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Training Resources: 4x GeForce GTX 1080 Ti
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Architecture:
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- TPSPreprocessor
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- VeryDeepVgg
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- CRNNDecoder
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- CTCLoss
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Paper:
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- https://arxiv.org/pdf/1507.05717.pdf
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- https://arxiv.org/pdf/1603.03915.pdf
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README: configs/textrecog/tps/README.md
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Models:
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- Name: crnn_tps_academic_dataset
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In Collection: TPS-CRNN
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Config: configs/textrecog/tps/crnn_tps_academic_dataset.py
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Metadata:
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Training Data: Syn90k
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Results:
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- Task: Regular Text Recognition
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Dataset: IIIT5K
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Metrics:
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word_acc: 80.8
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- Task: Regular Text Recognition
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Dataset: SVT
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Metrics:
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word_acc: 81.3
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- Task: Regular Text Recognition
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Dataset: ICDAR2013
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Metrics:
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word_acc: 85.0
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- Task: Irregular Text Recognition
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Dataset: ICDAR2015
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Metrics:
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word_acc: 59.6
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- Task: Irregular Text Recognition
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Dataset: SVTP
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Metrics:
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word_acc: 68.1
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- Task: Irregular Text Recognition
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Dataset: CT80
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Metrics:
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word_acc: 53.8
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Weights: https://download.openmmlab.com/mmocr/textrecog/tps/crnn_tps_academic_dataset_20210510-d221a905.pth
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