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

Player and ball tracking map for Tennis.

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

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.

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

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

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

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.

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

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.

⚽️A deep learning-based system designed for re-identifying football players across video frames and camera angles using person re-identification techniques. This project combines computer vision, feature extraction, and player tracking to help automate sports analytics and player recognition.

Web App for Tracking NBA Stats

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

Minecraft Mods — player list, score tracking, and mod management tools for Minecraft gaming sessions.

Soccer player tracking system using YOLOv8 and ByteTrack.

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.

A real-time Valheim server monitoring dashboard that displays server status, player information, and system metrics. Built with Docker, Python, Chart.js, and hosted on an Azure VM.