mirror of https://github.com/open-mmlab/mmocr.git
38 lines
1.0 KiB
YAML
38 lines
1.0 KiB
YAML
Collections:
|
|
- Name: CRNN
|
|
Metadata:
|
|
Training Data: OCRDataset
|
|
Training Techniques:
|
|
- Adadelta
|
|
Epochs: 5
|
|
Batch Size: 256
|
|
Training Resources: 4x GeForce GTX 1080 Ti
|
|
Architecture:
|
|
- VeryDeepVgg
|
|
- 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_academic_dataset
|
|
In Collection: CRNN
|
|
Config: configs/textrecog/crnn/crnn_academic_dataset.py
|
|
Metadata:
|
|
Training Data: Syn90k
|
|
Results:
|
|
- Task: Text Recognition
|
|
Dataset: IIIT5K
|
|
Metrics:
|
|
word_acc: 80.5
|
|
- Task: Text Recognition
|
|
Dataset: SVT
|
|
Metrics:
|
|
word_acc: 81.5
|
|
- Task: Text Recognition
|
|
Dataset: ICDAR2013
|
|
Metrics:
|
|
word_acc: 86.5
|
|
Weights: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_academic-a723a1c5.pth
|