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PaddleClas is a toolset for image classification tasks prepared for the industry and academia. It helps users train better computer vision models and apply them in real scenarios. PaddleClas is a toolset for image classification tasks prepared for the industry and academia. It helps users train better computer vision models and apply them in real scenarios.
**Recent update** **Recent update**
- 2021.02.08 Release PaddleClas v2.0(branch release/2.0) and set as default branch. Check release note here: https://github.com/PaddlePaddle/PaddleClas/releases/tag/v2.0.0
- 2021.01.08 Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip. - 2021.01.08 Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip.
- 2020.12.16 Add support for TensorRT when using cpp inference to obain more obvious acceleration. - 2020.12.16 Add support for TensorRT when using cpp inference to obain more obvious acceleration.
- 2020.12.06 Add `SE_HRNet_W64_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 84.75%. - 2020.12.06 Add `SE_HRNet_W64_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 84.75%.
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