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.

🔎 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.

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

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.

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

True Speed, a proprietary metric derived from the Big Data Bowl 2026 tracking data.

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.

Web App for Tracking NBA Stats

Roblox player metric tracker

A robust computer vision system for player re-identification in sports footage using a dual-YOLOv8 model approach and real-time field registration (Homography).

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

⚽️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.

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.