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jiangjinsheng 提交于 2021-07-23 18:09 . add README

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Introduction

MindVison Classification is an open source image classification toolbox based on MindSpore.

Major features

  • Modular Design

We decompose the classification framework into different components and one can easily construct a customized object classification framework by combining different modules.

License

This project is released under the Apache 2.0 license.

Benchmark and model zoo

Results and models are available in the model zoo.

Supported models:

  • LeNet
  • ResNet
  • ResNeXt
  • SE-ResNet
  • SE-ResNeXt
  • RegNet
  • ShuffleNetV1
  • ShuffleNetV2
  • MobileNetV2
  • MobileNetV3

Supported datasets:

Please see getting_dataset_started.md for the basic usage of the interface of datasets.

Getting Started

Please see getting_started.md for the basic usage of MindVision classification.

Feedbacks and Contact

The dynamic version is still under development, if you find any issue or have an idea on new features, please don't hesitate to contact us via Gitee Issues.

Contributing

We appreciate all contributions to improve MindSpore classification. Please refer to CONTRIBUTING.md for the contributing guideline.

Acknowledgement

MindVison classification is an open source project that welcome any contribution and feedback. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible as well as standardized toolkit to reimplement existing methods and develop their own new classification methods.

Other projects in MindVision

  • Detection: MindVision detection toolbox and benchmark.
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