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ImageNet

ImageNet is a large-scale visual database of labeled images organized according to the WordNet hierarchy. It has been a foundational benchmark for evaluating image classification and object recognition models in computer vision.

Here are 684 public repositories matching this topic...

huggingface / pytorch-image-models

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

Updated Apr 3, 2026
Python

HumanSignal / labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

recognition tools deep-learning detection annotations python3 imagenet image-classification python2

Updated Jun 7, 2024
Python

microsoft / Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

imagenet image-classification object-detection semantic-segmentation mscoco mask-rcnn ade20k swin-transformer

Updated Jul 24, 2024
Python

cvat

cvat-ai / cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Updated Apr 3, 2026
Python

qubvel-org / segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Updated Apr 3, 2026
Python

Cadene / pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch imagenet resnet inception resnext pretrained

Updated Apr 22, 2022
Python

lukemelas / EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

feature-extraction imagenet pretrained-models efficientnet-pytorch

Updated Apr 8, 2022
Python

TensorLayer

tensorlayer / TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

python google reinforcement-learning deep-learning neural-network tensorflow chatbot artificial-intelligence gan dqn imagenet tensorflow-tutorials object-detection a3c tensorlayer tensorflow-tutorial

Updated Feb 18, 2023
Python

ml5js / ml5-library

Friendly machine learning for the web! 🤖

javascript machine-learning deep-learning neural-network lstm imagenet p5js p5xjs

Updated Oct 11, 2024
JavaScript

huawei-noah / Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

tensorflow pytorch transformer imagenet convolutional-neural-networks pretrained-models model-compression efficient-inference ghostnet vision-transformer

Updated Mar 15, 2025
Python

mit-han-lab / efficientvit

Efficient vision foundation models for high-resolution generation and perception.

imagenet segmentation high-resolution vision-transformer efficientvit segment-anything deep-compression-autoencoder efficient-diffusion-model

Updated Sep 5, 2025
Python

tinyvision / DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

deep-learning pytorch yolo imagenet object-detection nas tensorrt onnx yolov5 damo-yolo

Updated May 25, 2024
Python

osmr / imgclsmob

Sandbox for training deep learning networks

machine-learning deep-learning neural-network mxnet chainer tensorflow keras pytorch classification imagenet image-classification segmentation human-pose-estimation pretrained-models gluon cifar semantic-segmentation 3d-face-reconstruction tensorflow2

Updated Sep 6, 2024
Python

TsingZ0 / PFLlib

Master Federated Learning in 2 Hours—Run It on Your PC!

python iot privacy attack distributed-computing pytorch personalization imagenet differential-privacy privacy-protection heterogeneity federated-learning dlg non-iid domainnet

Updated Jan 25, 2026
Python

qubvel / efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

deep-learning efficient classification imagenet image-classification pretrained-models mobilenet nasnetmobile efficientnet

Updated Jan 24, 2024
Python

apple / ml-cvnets

CVNets: A library for training computer vision networks

machine-learning computer-vision deep-learning detection pytorch classification imagenet segmentation pascal-voc mscoco ade20k

Updated Oct 30, 2023
Python

bearpaw / pytorch-classification

Classification with PyTorch.

pytorch classification imagenet densenet resnet cifar10 resnext wide-residual-networks wrn cifar100 preresnet

Updated Jun 18, 2024
Python

torchdistill

yoshitomo-matsubara / torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

nlp natural-language-processing text-classification glue pytorch transformer imagenet image-classification coco object-detection semantic-segmentation knowledge-distillation cifar10 pascal-voc cifar100 google-colab colab-notebook amazon-sagemaker-lab pytorch-ecosystem

Updated Mar 31, 2026
Python

google-research / big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

deep-learning pytorch imagenet convolutional-neural-networks transfer-learning jax tensorflow2

Updated Jul 30, 2024
Python

hysts / pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

computer-vision pytorch imagenet cifar10 fashion-mnist

Updated Dec 12, 2021
Python

Followers: 19 followers
Website: github.com/topics/imagenet
Wikipedia: Wikipedia