Ultralytics YOLO 🚀

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

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 based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

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 Docs https://docs.ultralytics.com

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

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.

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

🤖 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

Forecast object trajectory based on history of tracks. Provides a stable and computationally efficient baseline suitable for real-time systems.

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

Compare YOLOv5, YOLOv8, YOLO11, and YOLO26 performance on your hardware

This is a validation project designed to evaluate the performance of the latest YOLO26n release (developed by @ultralytics) for license plate recognition (LPR) tasks.

基于 Yolo26 + QT 实现的安全帽检测系统

Gradio app showcasing Yolo pose estimation, enabling human pose detection within images.

Yolo 26 Classification, Detection & Segmentation

Local AI security camera system for Android devices using Termux. Detects persons with YOLO, identifies faces with FaceNet, streams via Flask, and alerts via Telegram.