Collections:
  - Name: ASTER
    Metadata:
      Training Data: OCRDataset
      Training Techniques:
        - AdamW
      Epochs: 6
      Batch Size: 4096
      Training Resources: 4 x NVIDIA A100-SXM4-80GB
      Architecture:
        - ResNet45
        - ASTERDecoder
    Paper:
      URL: https://ieeexplore.ieee.org/abstract/document/8395027/
      Title: 'ASTER: An Attentional Scene Text Recognizer with Flexible Rectification'
    README: configs/textrecog/aster/README.md

Models:
  - Name: aster_resnet45_6e_st_mj
    Alias: ASTER
    In Collection: ASTER
    Config: configs/textrecog/aster/aster_resnet45_6e_st_mj.py
    Metadata:
      Training Data:
        - SynthText
        - Syn90k
    Results:
      - Task: Text Recognition
        Dataset: IIIT5K
        Metrics:
          word_acc: 0.9357
      - Task: Text Recognition
        Dataset: SVT
        Metrics:
          word_acc: 0.8949
      - Task: Text Recognition
        Dataset: ICDAR2013
        Metrics:
          word_acc: 0.9281
      - Task: Text Recognition
        Dataset: ICDAR2015
        Metrics:
          word_acc: 0.7665
      - Task: Text Recognition
        Dataset: SVTP
        Metrics:
          word_acc: 0.8062
      - Task: Text Recognition
        Dataset: CT80
        Metrics:
          word_acc: 0.8507
    Weights: https://download.openmmlab.com/mmocr/textrecog/aster/aster_resnet45_6e_st_mj/aster_resnet45_6e_st_mj-cc56eca4.pth
