https://github.com/okotaku/clshub

https://github.com/okotaku/clshub

Last synced: 24 days ago
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• Host: GitHub
• URL: https://github.com/okotaku/clshub
• Owner: okotaku
• License: apache-2.0
• Created: 2022-10-11T23:22:11.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-05T00:58:39.000Z (over 1 year ago)
• Last Synced: 2023-05-15T12:31:02.013Z (over 1 year ago)
• Language: Python
• Size: 260 KB
• Stars: 9
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ClsHub

[![build](https://github.com/okotaku/clshub/actions/workflows/build.yml/badge.svg)](https://github.com/okotaku/clshub/actions/workflows/build.yml)

[![license](https://img.shields.io/github/license/okotaku/clshub.svg)](https://github.com/okotaku/clshub/blob/main/LICENSE)

## Introduction

ClsHub is an open source image classification experiments hub. Our main contribution is supporting classification datasets and share baselines.

- Support more and more datasets

- Provide reproducible baseline configs for these datasets

- Provide pretrained models, results and inference codes for these datasets

Documentation: [docs](docs)

## Supported Datasets

- [x] [RSNA Screening Mammography Breast Cancer Detection (Kaggle)](configs/projects/rsna2022/)

- [x] [PetFinder.my - Pawpularity Contest (Kaggle)](configs/projects/pet2022/)

## Get Started

Please refer to [get_started.md](docs/source/get_started.md) for get started.

Other tutorials for:

- [run train](docs/source/run.md)

## Contributing

### CONTRIBUTING

We appreciate all contributions to improve clshub. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) for the contributing guideline.

## License

This project is released under the [Apache 2.0 license](LICENSE).

## Acknowledgement

This repo borrows the architecture design and part of the code from [mmclassification](https://github.com/open-mmlab/mmclassification).

Also, please check the following openmmlab projects and the corresponding Documentation.

- [OpenMMLab](https://openmmlab.com/)

- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision.

- [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.

- [MMEngine](https://github.com/open-mmlab/mmengine): OpenMMLab foundational library for training deep learning models.

#### Citation

```

@misc{2020mmclassification,

    title={OpenMMLab's Image Classification Toolbox and Benchmark},

    author={MMClassification Contributors},

    howpublished = {\url{https://github.com/open-mmlab/mmclassification}},

    year={2020}

}

```