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Collections: | |
- Name: NRTR | |
Metadata: | |
Training Data: OCRDataset | |
Training Techniques: | |
- Adam | |
Epochs: 6 | |
Batch Size: 6144 | |
Training Resources: 48x GeForce GTX 1080 Ti | |
Architecture: | |
- CNN | |
- NRTREncoder | |
- NRTRDecoder | |
Paper: | |
URL: https://arxiv.org/pdf/1806.00926.pdf | |
Title: 'NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition' | |
README: configs/textrecog/nrtr/README.md | |
Models: | |
- Name: nrtr_r31_1by16_1by8_academic | |
In Collection: NRTR | |
Config: configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py | |
Metadata: | |
Training Data: | |
- SynthText | |
- Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 94.7 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 87.3 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 94.3 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 73.5 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 78.9 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 85.1 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by16_1by8_academic_20211124-f60cebf4.pth | |
- Name: nrtr_r31_1by8_1by4_academic | |
In Collection: NRTR | |
Config: configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py | |
Metadata: | |
Training Data: | |
- SynthText | |
- Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 95.2 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 90.0 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 94.0 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 74.1 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 79.4 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 88.2 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by8_1by4_academic_20211123-e1fdb322.pth | |