羽毛球比赛视频智能分析 | Badminton match video analytics: TrackNet shuttle detection + YOLOv8s-pose player tracking + court homography + bullet-time FX. Runs end-to-end on Apple Silicon. 完整文档与 AI agent 任务包见 HANDOVER.md

A curated list of awesome Sports AI tools, open-source sports analytics, player tracking models, and sports data APIs.

TeamPlan - A team planning and player tracking system for Dutch football clubs

An advanced Discord logging system for FiveM and RedM servers, providing comprehensive logging capabilities with a clean and modern interface.

Player and ball tracking map for Tennis.

Robust Player Tracking & Behavior Analysis pipeline for SoccerNet Benchmark. Features YOLO11x, BoT-SORT (GMC), and Adaptive Field Masking. Artificial Vision Project 2025/26 @ Unisa.

Soccerlytics is an comprehensive football video analysis system that tracks and analyzes matches. It generates enhanced visualizations with player tracking, ball possession statistics, team assignments, and a unique 2D top-down view for tactical analysis.

🔎 A PvP mod that encourages raiding. Allows the tracking of players via special trackers.

Minecraft Server Finder is a small toolkit which helps in finding Minecraft servers and tracking players using the "sample" parameter.

End-to-end soccer tracking data platform: ingestion, validation, Parquet transforms, analytics layer, CI/CD, Airflow DAG and Terraform S3 data lake.

Deep learning pipeline for player detection and analytics using YOLO, DeepSORT, and custom metrics covers model training, tracking, feature extraction, insights, and visualization for sports data.

Automated football match event detection from broadcast video — YOLOv8 player/ball detection, real-time tracking, interactive player tagging, replay filtering, and structured event output for sports analytics workflows.

Multi-stage deep learning system for NFL player trajectory prediction (NFL Big Data Bowl 2026)

Real-time soccer player tracking using YOLOv11 and multiple object tracking algorithms like ByteTrack and DeepSORT

Workflow pro automatizované zpracování GPS dat s cílem podpořit analytickou interpretaci výkonu hráčů

A real-time soccer player re-identification system using YOLO-based detection and custom tracking logic. Detects players and maintains consistent IDs throughout a single video feed, even after occlusions or re-entry. Built using Python, OpenCV, and Ultralytics YOLO.

Roblox player metric tracker

A Player Re-Identification system for sports footage that detects players, assigns consistent IDs, and handles re-entries using YOLOv11 and DeepSORT. Its modular design supports easy testing, feature extraction, and customization.

Football match video analysis using computer vision. Features YOLO object detection, ByteTrack player tracking, unsupervised team classification, and 2D pitch minimap generation.

🏀AI-powered basketball analysis system for player detection, tracking, and game insights.