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Introduction

MMClassification is an open source image classification toolbox based on PyTorch. It is a part of the OpenMMLab project.

Documentation: https://mmclassification.readthedocs.io/en/latest/

demo

Major features

  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility

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 backbones:

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

Installation

Please refer to install.md for installation and dataset preparation.

Getting Started

Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.

Contributing

We appreciate all contributions to improve MMClassification. Please refer to CONTRUBUTING.md for the contributing guideline.

Acknowledgement

MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.

About

OpenMMLab Image Classification Toolbox and Benchmark

mmclassification.readthedocs.io/en/latest/

Resources

Readme
Apache-2.0 license

Contributing

Contributing
Activity

Stars

4 stars

Watchers

0 watching

Forks

1 fork
Report repository

Releases

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Contributors

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GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
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, 'i');
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GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - ly015/mmclassification: OpenMMLab Image Classification Toolbox and Benchmark · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusDocumentation Statuscodecovlicense
Introduction
MMClassification is an open source image classification toolbox based on PyTorch. It is
a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
demo
Major features
  • Various backbones and pretrained models
  • Bag of training tricks
  • Large-scale training configs
  • High efficiency and extensibility
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 backbones:
  •  ResNet
  •  ResNeXt
  •  SE-ResNet
  •  SE-ResNeXt
  •  RegNet
  •  ShuffleNetV1
  •  ShuffleNetV2
  •  MobileNetV2
  •  MobileNetV3
Installation
Please refer to install.md for installation and dataset preparation.
Getting Started
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Contributing
We appreciate all contributions to improve MMClassification.
Please refer to CONTRUBUTING.md for the contributing guideline.
Acknowledgement
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.
About
OpenMMLab Image Classification Toolbox and Benchmark
mmclassification.readthedocs.io/en/latest/
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
4 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages