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
- RSNA Screening Mammography Breast Cancer Detection (Kaggle)
- PetFinder.my - Pawpularity Contest (Kaggle)
Please refer to get_started.md for get started. Other tutorials for:
We appreciate all contributions to improve clshub. Please refer to CONTRIBUTING.md for the contributing guideline.
This project is released under the Apache 2.0 license.
This repo borrows the architecture design and part of the code from mmclassification.
Also, please check the following openmmlab projects and the corresponding Documentation.
- OpenMMLab
- MMCV: OpenMMLab foundational library for computer vision.
- MIM: MIM Installs OpenMMLab Packages.
- MMEngine: OpenMMLab foundational library for training deep learning models.
@misc{2020mmclassification,
title={OpenMMLab's Image Classification Toolbox and Benchmark},
author={MMClassification Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmclassification}},
year={2020}
}