Comments (2)
Note text recognition requires very large amount of data to have good accuracy. In my experiments I only use a single original dataset for training, not mixing datasets together. SVT has only 350 images here, therefore you can imagine highly overfitting can happen. But you can see from there if increasing number of training data, the accuracy increases. These experiments are just for sanity check.
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thank you!
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Related Issues (11)
- Training time HOT 2
- About Pretrained Model HOT 1
- How to draw 2-d attention map? HOT 1
- Datasets HOT 2
- 对中文的数据集有做过测试吗?表现如何? HOT 2
- Why there is a huge gap between the accuracy of training and testing? HOT 3
- The problem of accuracy HOT 1
- 这个测试精度。。。 HOT 1
- train on my own dataset HOT 9
- How to do Visualization? HOT 1
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