mirror of https://github.com/open-mmlab/mmocr.git
54 lines
1.4 KiB
YAML
54 lines
1.4 KiB
YAML
Collections:
|
|
- Name: MASTER
|
|
Metadata:
|
|
Training Data: OCRDataset
|
|
Training Techniques:
|
|
- Adam
|
|
Epochs: 12
|
|
Batch Size: 2048
|
|
Training Resources: 4x NVIDIA A100-SXM4-80GB
|
|
Architecture:
|
|
- ResNet31-GCAModule
|
|
- MASTERDecoder
|
|
Paper:
|
|
URL: https://arxiv.org/abs/1910.02562
|
|
Title: "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition"
|
|
README: configs/textrecog/master/README.md
|
|
|
|
Models:
|
|
- Name: master_resnet31_12e_st_mj_sa
|
|
Alias: MASTER
|
|
In Collection: MASTER
|
|
Config: configs/textrecog/master/master_resnet31_12e_st_mj_sa.py
|
|
Metadata:
|
|
Training Data:
|
|
- SynthText
|
|
- SynthAdd
|
|
- Syn90k
|
|
Results:
|
|
- Task: Text Recognition
|
|
Dataset: IIIT5K
|
|
Metrics:
|
|
word_acc: 0.9490
|
|
- Task: Text Recognition
|
|
Dataset: SVT
|
|
Metrics:
|
|
word_acc: 0.8967
|
|
- Task: Text Recognition
|
|
Dataset: ICDAR2013
|
|
Metrics:
|
|
word_acc: 0.9517
|
|
- Task: Text Recognition
|
|
Dataset: ICDAR2015
|
|
Metrics:
|
|
word_acc: 0.7631
|
|
- Task: Text Recognition
|
|
Dataset: SVTP
|
|
Metrics:
|
|
word_acc: 0.8465
|
|
- Task: Text Recognition
|
|
Dataset: CT80
|
|
Metrics:
|
|
word_acc: 0.8854
|
|
Weights: https://download.openmmlab.com/mmocr/textrecog/master/master_resnet31_12e_st_mj_sa/master_resnet31_12e_st_mj_sa_20220915_152443-f4a5cabc.pth
|