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Search results for imagenet image classification

image-classification x

91 search results found

Pytorch Image Models ⭐ 29,680

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Labelimg ⭐ 21,763

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.

Swin Transformer ⭐ 12,215

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

Cvat ⭐ 11,169

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.

Paddleclas ⭐ 5,161

A treasure chest for visual classification and recognition powered by PaddlePaddle

Super Gradients ⭐ 4,125

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Darts ⭐ 2,775

Differentiable architecture search for convolutional and recurrent networks

Imgclsmob ⭐ 2,399

Sandbox for training deep learning networks

Efficientnet ⭐ 2,048

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Labelbox Custom Labeling Apps ⭐ 1,741

Explore example custom labeling apps built with Labelbox SDK

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Unsupervised Classification ⭐ 1,217

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Torchdistill ⭐ 1,171

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Hrnet Image Classification ⭐ 733

Train the HRNet model on ImageNet

Fastervit ⭐ 539

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

Fishnet ⭐ 511

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Rectlabel Support ⭐ 477

RectLabel is an offline image annotation tool for object detection and segmentation.

Neural Backed Decision Trees ⭐ 445

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Isda For Deep Networks ⭐ 409

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

Official PyTorch implementation of Fully Attentional Networks

Residualmaskingnetwork ⭐ 387

ICPR 2020: Facial Expression Recognition using Residual Masking Network

Computer Vision ⭐ 354

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Bag_of_tricks_for_image_classification_with_convolutional_neural_networks ⭐ 352

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

Assembled Cnn ⭐ 311

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Easyrobust ⭐ 293

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Caffe Android Demo ⭐ 251

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Node Efficientnet ⭐ 245

tensorflowJS implementation of EfficientNet 🚀

Parametric Contrastive Learning ⭐ 220

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

A toolbox of vision models and algorithms based on MindSpore

Group Normalization Tensorflow ⭐ 205

A TensorFlow implementation of Group Normalization on the task of image classification

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

Code and Pretrained model for IGCV3

Iresnet ⭐ 157

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Alexnet ⭐ 156

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

This is an official pytorch implementation of Fast Fourier Convolution.

Cvpr18 Inaturalist Transfer ⭐ 139

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Petridishnn ⭐ 110

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Classification_models_3d ⭐ 109

Set of models for classifcation of 3D volumes

Imagenetmodel ⭐ 101

Official ImageNet Model repository

Moganet ⭐ 100

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

Robot Grasp Detection ⭐ 97

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Bottlenecktransformers ⭐ 93

Bottleneck Transformers for Visual Recognition

Divide And Co Training ⭐ 88

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Ceit Pytorch ⭐ 84

Implementation of Convolutional enhanced image Transformer

Simplenet ⭐ 83

This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )

Orthogonal Convolutional Neural Networks ⭐ 65

Code for paper "Orthogonal Convolutional Neural Networks".

Sota Backbones ⭐ 64

A collection of SOTA Image Classification Models in PyTorch

Image_classification_sota ⭐ 58

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.

Rostensorflow ⭐ 56

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Etiketai ⭐ 55

Etiketai is an online tool designed to label images, useful for training AI models

Imagenet ⭐ 53

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Metric Transfer.pytorch ⭐ 50

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Pigallery ⭐ 46

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Hardhat Detector ⭐ 40

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)

Bird_species_classification ⭐ 34

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Orange3 Imageanalytics ⭐ 32

🍊 🎑 Orange3 add-on for dealing with image related tasks

[AAAI-2020] Official implementations of HCGNets: Gated Convolutional Networks with Hybrid Connectivity for Image Classification

Keras Application Zoo ⭐ 28

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Head Network Distillation ⭐ 27

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Image_classification ⭐ 27

🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Al Fk Self Supervision ⭐ 25

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Supervised Compression ⭐ 21

[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

Gcvit Tf ⭐ 20

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

Sc2 Benchmark ⭐ 18

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

Skin_lesions_classification_dcnns ⭐ 18

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Mobilenetv3 Pytorch ⭐ 18

MobileNetV3 PyTorch implementation

Permutedadain ⭐ 18

Pytorch Implementation of PermutedAdaIN

Img_classification_deep_learning ⭐ 18

Autoblur Cnn Features ⭐ 17

Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].

Whatsthere ⭐ 16

Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API

Decoupled Kullback-Leibler Divergence Loss (DKL)

pytorch implementation of several CNNs for image classification

Resnet 50 101 152 ⭐ 14

This is an implementation of ResNet-50/101/152.

Imagenet ⭐ 13

ImageNet training code that implements academic defaults

Salty Wet Man ⭐ 10

Online content control dashboard. Binary classification filter/flag for inappropriate NSFW content with automated reporting

Code release for AutoMix: Unveiling the Power of Mixup for Stronger Classifiers (ECCV 2022 Oral)

Sgd Uap Torch ⭐ 9

Universal Adversarial Perturbations (UAPs) for PyTorch

[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

Deepclassifyml ⭐ 8

Image Classification Web app built using Hasura

Locally Sag Transformer ⭐ 8

Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"

Setup For Imagenet ⭐ 8

Imagenet(for image classification, 2012) 데이터 셋 다운로드 및 정리 방법 정리

Sparseshiftlayer ⭐ 7

An official implementation of CVPR 2019 paper "All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification".

Objectdetector ⭐ 7

ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers

Keras Tutorials Lite ⭐ 6

Tutorial materials for Keras / TensorFlow based transfer-learning image classification

Pytorch Django ⭐ 6

🔥📷 A simple Django web app classifying images using PyTorch.

Imagenetmultilabel ⭐ 6

Fine-grained ImageNet annotations

Rmn Rpn For Fsl ⭐ 5

This is the source for paper "Relative Position and Map Networks in Few-shot Learning for Image Classification"

Pytorch Mixnet Ss ⭐ 5

Extremely light-weight MixNet with Top-1 75.7% and 2.5M params

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