@@ -25,7 +26,7 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
- Data augmentation: PaddleClas provides detailed introduction of 8 data augmentation algorithms such as AutoAugment, Cutout, Cutmix, code reproduction and effect evaluation in a unified experimental environment.
- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
- A variety of training modes, including multi-machine training, mixed precision training, etc.
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@@ -55,9 +56,9 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
- Model prediction/inference
-[Prediction based on training engine](./docs/en/extension/paddle_inference_en.md)