mirror of https://github.com/open-mmlab/mmocr.git
51 lines
1.4 KiB
YAML
51 lines
1.4 KiB
YAML
Collections:
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- Name: 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: 64
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Training Resources: 1x NVIDIA A100-SXM4-80GB
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Architecture:
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- MiniVGG
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- CRNNDecoder
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Paper:
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URL: https://arxiv.org/pdf/1507.05717.pdf
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Title: 'An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition'
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README: configs/textrecog/crnn/README.md
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Models:
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- Name: crnn_mini-vgg_5e_mj
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Alias: CRNN
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In Collection: CRNN
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Config: configs/textrecog/crnn/crnn_mini-vgg_5e_mj.py
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Metadata:
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Training Data: Syn90k
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Results:
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- Task: Text Recognition
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Dataset: IIIT5K
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Metrics:
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word_acc: 0.8053
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- Task: Text Recognition
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Dataset: SVT
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Metrics:
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word_acc: 0.8053
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- Task: Text Recognition
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Dataset: ICDAR2013
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Metrics:
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word_acc: 0.8739
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- Task: Text Recognition
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Dataset: ICDAR2015
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Metrics:
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word_acc: 0.5556
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- Task: Text Recognition
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Dataset: SVTP
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Metrics:
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word_acc: 0.6093
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- Task: Text Recognition
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Dataset: CT80
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Metrics:
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word_acc: 0.5694
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Weights: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth
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