ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
ultralytics / ultralytics
ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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
HumanSignal / label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
lucidrains / vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
cvat-ai / cvat
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
voxel51 / fiftyone
Refine high-quality datasets and visual AI models
CVHub520 / X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
satellite-image-deep-learning / techniques
Techniques for deep learning with satellite & aerial imagery
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
PaddlePaddle / PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
weslynn / AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
autodistill / autodistill
Images to inference with no labeling (use foundation models to train supervised models).
jolibrain / deepdetect
Deep Learning Server and CLI for Torch and TensorRT
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
ailia-ai / ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
ufoym / imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
emgucv / emgucv
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
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.
xtreme1-io / xtreme1
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
open-edge-platform / geti
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
PSRben / VisionHOPE
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
NickSwardh / YoloDotNet
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
jasmcaus / caer
High-performance Vision library in Python. Scale your research, not boilerplate.
albumentations-team / AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
dme-compunet / YoloSharp
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
ultralytics / yolo-ios-app
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
ultralytics / yolo-flutter-app
Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
oleost / VisionState
Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.
eldoary / Visionary-Training-Studio
Fast Track AI Model Training with Streamlit Vision to Production in 2026
Mehedi-hasan-Dev / Visual-Model-Forge
No-Code Image Classification Studio: AutoML Tuning Toolkit with Streamlit 2026
AhmadJeddi / Plant-Disease-Classification
A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.
yoheinakajima / glance
Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.