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Yuan Liu ce3fa7b3fb
[Feature] Support Out-of-Distribution datasets like ImageNet-A,R,S,C. (#1342) 
* [Feature]: Support ImageNet-A,R,S

* [Feature]: Add doc for ood eval

* [Feature]: Add example config

* [Feature]: Add mCE evaluator

* [Fix]: Fix key error

* [Feature]: Add mCE for ImageNet-C

* [Feature]: Add ImageNet-C example

* [Feature]: Add doc for ImageNet-C ft

* [Fix]: Fix bug

* [Fix]: Fix lint

* [Fix]: Fix suggestion

* [Fix]: Fix codespell

* [Fix]: Fix lint

* [Feature]: Add gen annotation

* [Fix]: Fix lint

* [Fix]: Fix index mask bug
 		2023-03-16 16:30:42 +08:00
..
example_project [Project] Add Example project. (#1254) 2022-12-12 17:57:09 +08:00
fgia_accv2022_1st [Project] Add ACCV workshop 1st Solution. (#1245) 2022-12-12 18:55:09 +08:00
ood_eval [Feature] Support Out-of-Distribution datasets like ImageNet-A,R,S,C. (#1342) 2023-03-16 16:30:42 +08:00
README.md [Project] Add Example project. (#1254) 2022-12-12 17:57:09 +08:00

README.md

Welcome to Projects of MMClassification

In this folder, we welcome all contribution of vision deep-learning backbone from community.

Here, these requirements, e.g. code standards, are not that strict as in core package. Thus, developers from the community can implement their algorithms much more easily and efficiently in MMClassification. We appreciate all contributions from community to make MMClassification greater.

Here is an example project about how to add your algorithms easily.

We also provide some documentation listed below: