ultralytics-yolo

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

👁 零代码零标注 CV AI 自动化测试工具 🚀 免除大量人工画框和打标签等，直接零代码快速自动化测试 CV 计算机视觉 AI 人工智能图像识别算法：行人检测、动植物分类、人脸识别、OCR 车牌识别、旋转校正、舞蹈姿态、抠图分割 等，还可一键 下载测试报告、导出训练和测试数据集

ultralytics_pro 是一堆改過架構的模型大禮包 (包含 v3 ~ 26, yolo-master, RTMDet / RT-DETR, yolact, yoloe / yolo-world, PicoDet / PPyoloE / YoloX, YOLOR / goldyolo / Leyolo / damoyolo / fbrt-yolo / maf-yolo / bgf-yolo / cst-yolo / hyper-yolo / HEYDet / alss-yolo / rcs-yolo / syolo / pst / Vajrav1)

Multi-stream video inference with Ultralytics YOLO - Display multiple video streams in a grid layout with real-time object detection.

Convert NDJSON annotation exports to YOLO, COCO, Pascal VOC, and more - fast, private, cross-platform.

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

object detection system for YOLO, with a GUI desktop app for real-time detection on images and videos.

Developed an intelligent solution using OCR, QR code detection, and computer vision to extract and validate Aadhaar details from images. Applied preprocessing for rotated/skewed inputs, ensured fraud detection via pattern checks, and improved accuracy for secure, automated identity verification.

Object Detection, Oriented Bounding Boxes (OBB) Object Detection, Object Segmentation, and Pose Detection from Image Files, Video Files, Webcams, and RTSP Streams Using Ultralytics YOLO26 in Streamlit

work on YOLOv8s-based predator detection for farmland, an ongoing project aimed at detecting and classifying predator species that threaten livestock and crops.

A toolkit for deploying optimized YOLOv8 vision applications container on Advantech edge AI devices with hardware acceleration. Designed specifically for Advantech edge AI devices based on NVIDIA Jetson platforms

ultralytics_ultra 是一堆改過架構的模型大大大禮包 (包含 v3 ~ 26, yolo-master, RTMDet / RT-DETR, yolact, yoloe / yolo-world, PicoDet / PPyoloE / YoloX, YOLOR / goldyolo / Leyolo / damoyolo / fbrt-yolo / maf-yolo / bgf-yolo / cst-yolo / hyper-yolo / HEYDet / alss-yolo / rcs-yolo / syolo / pst / Vajrav1)

A fine-tuned YOLO v8 model for Road Damage and Pothole Detection

基于 YOLO 模型的常见视觉任务训练工具

Successfully developed a real-time soccer player re-identification and tracking system using YOLOv11 and Deep SORT with TorchreID-based embeddings.

Optimize test for ultralytics yolo11. Using OpenVINO, TensorRT, and Hailo-8.

Detect space station safety gear with a click. AI + 3D models make safety inspection intuitive and futuristic.

RoadGuard AI is an advanced, automated road infrastructure monitoring and civic pothole complaint reporting system. It integrates computer vision (YOLOv8 Segmentation), geolocational intelligence, dynamic web scraping, and official communication channels into a unified road safety pipeline.

📷 Simplify camera setup on NVIDIA Jetson platforms with our toolkit for Arducam IMX708, offering guides, overlays, and integration examples.

基于 Ultralytics YOLO11m 的番茄 10 类病害/虫害目标检测与三级预警系统，配套 PySide6 桌面训练平台。