Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.

Aim-bot based on AI for all FPS and TPS games

Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera

This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

ROS2 adapters for the Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation, OBB, and classification. Built on ONNX Runtime and OpenCV. Optimized for CPU/GPU with quantization support.

Ultralytics model comparison docs and automated QA for websites, links, spelling, sitemaps, and image sizes.

Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.

go-vision 基于 Golang + ONNX 构建的视觉库，支持 SAM2、YOLOv11-Det、YOLOv11-Seg、YOLOv11-Cls、YOLOv11-Pose、YOLOv11-OBB、YOLO26-Det、YOLO26-Seg、YOLO26-Cls、YOLO26-Pose、YOLO26-OBB 等模型

Short, concise yet complete implementations of various Yolo models in the style of Tinygrad, but in pure Pytorch.

A free and opensource yolov8, yolo11 and yolo26 all in one training tool that automates file structure and yaml files, auto labeling with SAM2, brush system for uninterupted labeling, a strong modular augmentation system where anybody can write their own filters and training. Without having to open terminal.

IntegraPose, an open-source toolkit for training single, end-to-end models that perform simultaneous behavioral classification and keypoint estimation. IntegraPose leverages YOLO-Pose architectures and transfer learning, enabling researchers to create custom models via a streamlined annotation workflow.

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, classification, pose, OBB, and tracking.

🤖 基于 ONNX Runtime 的 YOLO 目标检测库，支持多种 YOLO 模型，包括 YOLO26，提供了简洁易用的 C# API

🚀 Pre-trained YOLO for Document Layout Analysis. Instantly find text 📄, tables 📊, and figures 🖼️. Fast, accurate, and ready to use! ✨