Ultralytics YOLO 🚀

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

🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

Turn any computer or edge device into a command center for your computer vision projects.

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

Python library for YOLO small object detection and instance segmentation

单缺口/多缺口滑块验证码识别，pip安装使用, 可本地/服务器部署API，点击下方链接在线体验 ⬇⬇⬇

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

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.

Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)

YOLOv11 re-implementation using PyTorch

Simple and Easy simulator YOLO Object Detection with Bird's Eye View

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

Flare Guard is an AI-powered system designed to instantly detect and report fires and smoke.

An offline AI-powered video analysis tool with object detection (YOLO), image captioning (BLIP), speech transcription (Whisper), audio event detection (PANNs), and AI-generated summaries (LLMs via Ollama). It ensures privacy and offline use with a user-friendly GUI.

Ultralytics Python Project Template

the python api for axengine runtime

Deploy YOLO models to Replicate with ready-to-use Cog configurations and automated CI/CD. Includes optimized deployments for YOLO11, and reference implementations for custom model deployment.

Ultralytics VSCode snippets plugin to provide quick examples and templates of boilerplate code to accelerate your code development and learning.