#Yolov8
Showing 60 of 64 repositories tagged #yolov8, ranked by stars
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
🔥🔥🔥 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🚀
Images to inference with no labeling (use foundation models to train supervised models).
Turn any computer or edge device into a command center for your computer vision projects.
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)
支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )
MetaSeg: Packaged version of the Segment Anything repository
Aim-bot based on AI for all FPS games
🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型
Python Computer Vision & Video Analytics Framework With Batteries Included
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
YOLOv8 TensorRT C++ Implementation
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
Ultralytics assets
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
Python library for YOLO small object detection and instance segmentation
Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟
Python scripts performing object detection using the YOLOv8 model in ONNX.
License Plate Detection using YOLOv8
a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera
Robust and Straight-Forward solution for reading difficult and tricky QR codes within images in Python. Powered by YOLOv8
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
AI Basketball Referee
Wanna know what your model sees? Here's a package for applying EigenCAM (like GradCAM) and generating heatmap from the new YOLO models
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
Record a chess game live and upload the PGN to Lichess
Ultralytics Platform tutorials and support
🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.
ChartScanAI is an advanced app for detecting patterns in stock and cryptocurrency charts using deep learning and YOLOv8. It automates chart pattern recognition, providing traders with a powerful tool for making informed decisions. Key features include real-time analysis, high accuracy for Buy/Sell signals, and support for various charts.
A collection of some awesome public object detection and recognition datasets.
fAIr - AI Assisted Mapping Tool
A redesign of FFmpeg for the AI era. React GUI. Custom AI integrations including YOLOv8 object and face detection, Whisper, Vidi2.5.
Checkbox Detection Model for Scanned Documents
Object Detection Model for Scanned Documents
Quantization Aware Training
YoloV8 NPU for the RK3566/68/88
Webcam video stream with real-time YOLO object detection, built with Ort, Tonic and Axum.
Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking
Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））
Real-time lane and car detection system using YOLOv8 and OpenCV, with distance estimation for vehicles. Ideal for autonomous driving and traffic analysis.
Real-time YOLOv8n UAV detection on the RK3588S NPU | saturates the sensor at 46 FPS | ~140 MB RAM | fully hardware-accelerated (ISP+RGA+NPU) | on-device LLM scene summaries
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
VisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.
Ultralytics Python Project Template
Ultralytics GitHub default .github repository.
AI-powered traffic intelligence platform for real-time vehicle analytics, congestion prediction, and smart urban mobility systems.
YOLO v8 training and inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks
YOLOv8-Pose-GUI Real-time pose estimation & sitting posture analysis. Input: image / video / camera. Detects: normal sitting, bowed head, hunchback, left/right tilt.
This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.
Welcome to the Fish-Detection-YOLOv8 repository! This project focuses on detecting fish species using the YOLOv8 object detection algorithm. It aims to provide accurate and efficient fish detection models for applications such as marine biology research and automated fishing systems.
An application suite including an open-source inference server and web UI to deploy any YOLOv8 model to NVIDIA Jetson devices and visualize captured streams, with one line of code.
👀 Apply YOLOv8 exported with ONNX or TensorRT(FP16, INT8) to the Real-time camera