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pytorch-image-models

35,279
5,015
Python

Project Description

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, expo

Project Title

pytorch-image-models — The Largest Collection of Pretrained PyTorch Image Models

Overview

PyTorch Image Models is a comprehensive library offering a vast array of PyTorch image encoders and backbones, including ResNet, ResNeXT, EfficientNet, and Vision Transformer (ViT), among others. It stands out for its extensive collection of models, support for training, evaluation, inference, and exporting scripts, as well as providing pretrained weights. This project is a one-stop solution for developers needing a variety of image classification models in PyTorch.

Key Features

  • Over 30 different state-of-the-art image models available
  • Pretrained weights for immediate use in projects
  • Support for training, evaluation, inference, and exporting models
  • Regular updates and additions of new models and features

Use Cases

  • Researchers and developers using deep learning for image classification tasks
  • Applications requiring various image encoders for different levels of complexity and performance
  • Rapid prototyping and deployment of image recognition systems

Advantages

  • Extensive model selection covering a wide range of architectures
  • Easy integration with PyTorch, facilitating the use of these models in existing projects
  • Community-driven with regular updates and improvements

Limitations / Considerations

  • The project's large scope may lead to a steeper learning curve for new users
  • The performance of each model can vary significantly based on the specific use case and dataset

Similar / Related Projects

  • TensorFlow Model Garden: A collection of TensorFlow models, similar in scope but for the TensorFlow framework.
  • Torchvision: A package that provides pre-trained models and common datasets for computer vision tasks in PyTorch, but with a smaller selection of models compared to pytorch-image-models.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation


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Project Information

Created on 2/2/2019
Updated on 9/16/2025