Top 334 image-classification open source projects

TensorFlow models accelerated with NVIDIA TensorRT

Label Studio is a multi-type data labeling and annotation tool with standardized output format

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

Powerful and efficient Computer Vision Annotation Tool (CVAT)

猫狗大战

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

OpenMMLab Image Classification Toolbox and Benchmark

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

Residual Attention Network for Image Classification

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Gluon CV Toolkit

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

Efficient Learning of Augmentation Policy Schedules

High-performance Vision library in Python. Scale your research, not boilerplate.

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

Tensorflow based training and classification scripts for text, images, etc

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

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Implementation of Bottleneck Transformer in Pytorch

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

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

RMDL: Random Multimodel Deep Learning for Classification

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Dataset of images of trash; Torch-based CNN for garbage image classification

An easy to use C# deep learning library with CUDA/OpenCL support

Brevitas: quantization-aware training in PyTorch

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

🍎 My own face recognition with deep neural networks.

Deep Learning Computer Vision Algorithms for Real-World Use

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Medical image processing in Python

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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

Differentiable architecture search for convolutional and recurrent networks

Neural networks training pipeline based on PyTorch

Experiments with Mobile

C# Yolo Darknet Wrapper (real-time object detection)

detect stages in video automatically

AutoGluon: AutoML for Text, Image, and Tabular Data

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A list of popular deep learning models related to classification, segmentation and detection problems

A Keras implementation of MobileNetV2.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Keras implementation of a ResNet-CAM model

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

A library for transfer learning by reusing parts of TensorFlow models.

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

Sorts your image at high speed

PyTorch implementation of RICAP (Random Image Cropping And Patching)

One-shot learning for image classification using Siamese neural networks

Automatic detection of defected solar panel modules

# This is a image classification by VGG16 pre-trained model.#

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

2nd place solution to Kaggle's Cdiscount image classification challange.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Machine Learning (EE 5184) in NTU

Car Crash Accident Project