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 🛠️

Convert COCO JSON to YOLO format

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.

Ultralytics assets

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

Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟

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

Flutter plugin for Ultralytics YOLO

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

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 Docs https://docs.ultralytics.com

Rust inference package experiments

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.

🤖 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