Ultralytics YOLO11 🚀

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

Python library for YOLO small object detection and instance segmentation

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 YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)

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

YOLOv11 re-implementation using PyTorch

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

Ultralytics Python Project Template

the python api for axengine runtime

This project uses a custom-trained YOLOv11 model with 40 classes to detect hand signs for sign language recognition. The project employs OpenCV for real-time inference through webcam feed.

Crowd Analyzer is a Python application for analyzing pedestrian and crowd mobility patterns using computer vision and machine learning techniques.

AI-YOLO Project Object Detection / Computer Vision

This repository contains Python scripts for real-time vehicle detection, tracking, and counting using the YOLO object detection model (YOLOv8). It is designed for vehicle counting on multi-lane highways and integrates tools like Supervision for annotation, object tracking, and detection smoothing.

Gradio app showcasing Yolo11 pose estimation, enabling human pose detection within images.

Traffic analysis using AI models - Yolo v11.

People Counting System that tracks and counts individuals entering and exiting a predefined region

投球動作解析(姿勢推定/動体検出)アプリケーション