Ultralytics YOLO 🚀
-
Updated
Feb 23, 2026 - Python
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.
Ultralytics Docs https://docs.ultralytics.com
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.
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.
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.
YOLOv26 re-implementation using PyTorch
Small Object Detection and Segmentation using YOLO26 + SAHI
Real-time American Sign Language recognition using YOLO26-pose and keypoint classification
Add a description, image, and links to the yolo26 topic page so that developers can more easily learn about it.
To associate your repository with the yolo26 topic, visit your repo's landing page and select "manage topics."