Top 334 image-classification open source projects

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Impementation of MobileNetV2 in pytorch

A short tutorial on performing fine tuning or transfer learning in PyTorch.

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

TensorFlow implementation of GoogLeNet and Inception for image classification.

Accelerated deep learning R&D

A UI tool for quickly training image classifiers in the browser

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

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

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Image classification for everyone.

Deep learning codes and projects using Python

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Nudity detection with JavaScript and HTMLCanvas

Code and Pretrained model for IGCV3

A simple, flexible, and extensible template for PyTorch. It's beautiful.

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

A Keras implementation of MobileNetV3.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Sandbox for training deep learning networks

A specially designed light version of Fast AutoAugment

A script in python to organize your images by similarity.

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

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

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

A machine learning experiment

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

A smart album for Android which use tensorflow to classify images

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

A curated list of deep learning image classification papers and codes

An example of using Tensorflow with Unity for image classification and object detection.

Bridging the gap Between Stability and Scalability in Neural Architecture Search

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

CNN image classifier implemented in Keras Notebook 🖼️.

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.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

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

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

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

Almost any Image classification problem using pytorch

Image classification: efficientnet/resnest/seresnext/.....

Object classification with CIFAR-10 using transfer learning

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

AutoML frAmework for Neural Networks

Facial Expression Recognition using Residual Masking Network

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

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

Deploying Keras models using TensorFlow Serving and Flask

Implementing Lambda Networks using Pytorch