Spaces:
Sleeping
Sleeping
Collections: | |
- Name: CRNN | |
Metadata: | |
Training Data: OCRDataset | |
Training Techniques: | |
- Adadelta | |
Epochs: 5 | |
Batch Size: 64 | |
Training Resources: 1x NVIDIA A100-SXM4-80GB | |
Architecture: | |
- MiniVGG | |
- CRNNDecoder | |
Paper: | |
URL: https://arxiv.org/pdf/1507.05717.pdf | |
Title: 'An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition' | |
README: configs/textrecog/crnn/README.md | |
Models: | |
- Name: crnn_mini-vgg_5e_mj | |
Alias: CRNN | |
In Collection: CRNN | |
Config: configs/textrecog/crnn/crnn_mini-vgg_5e_mj.py | |
Metadata: | |
Training Data: Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 0.8053 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 0.8053 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 0.8739 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 0.5556 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 0.6093 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 0.5694 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth | |