mmocr/configs/textrecog/nrtr/metafile.yml

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1.7 KiB
YAML

Collections:
- Name: NRTR
Metadata:
Training Data: OCRDataset
Training Techniques:
- Adam
Training Resources: 64x NVIDIA 1080Ti GPUs
Architecture:
- ResNet31OCR
- TFEncoder
- TFDecoder
Paper: https://arxiv.org/pdf/1806.00926.pdf
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: Regular Text Recognition
Dataset:
- IIIT5K
- SVT
- ICDAR2013
Metrics:
acc:
- 93.9
- 90.0
- 93.5
- Task: Irregular Text Recognition
Dataset:
- ICDAR2015
- SVTP
- CT80
Metrics:
acc:
- 74.5
- 78.5
- 86.5
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_academic_20210406-954db95e.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: Regular Text Recognition
Dataset:
- IIIT5K
- SVT
- ICDAR2013
Metrics:
acc:
- 94.7
- 87.5
- 93.3
- Task: Irregular Text Recognition
Dataset:
- ICDAR2015
- SVTP
- CT80
Metrics:
acc:
- 75.1
- 78.9
- 87.9
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by8_1by4_academic_20210406-ce16e7cc.pth