YOLO Jobs

# AI-Based Football Pitch Video Analytics System – Freelancer Project Brief ## Project Overview We are looking for a freelancer or team to develop an AI-powered computer vision and player performance analysis system for indoor football / mini football pitches. The system will be used in multiple football pitch locations across Türkiye. The software must: * Track every player during the match * Analyze player and team performance * Automatically generate statistics and ratings * Upload the match analysis to a website shortly after the match ends A complete hardware setup is already available for the first pitch: * 6 cameras installed * 1 high-performance PC * NVIDIA RTX 5080 GPU * Remote access via Tailscale is already configured The first implementation will be done on t...

I need a rock-solid, real-time player tracking module for football matches that guarantees the ID assigned to each athlete at kick-off never changes until the final whistle. Right now, our OpenCV–TensorFlow–YOLO pipeline sometimes swaps or loses IDs when athletes overlap, leave the frame briefly, or the camera angle shifts, and that ruins every speed, distance, position, and heat-map metric we generate. Key requirements • Sport: football. • Camera setup: five or more synchronized feeds. • Existing stack: OpenCV, TensorFlow, YOLO – your solution must plug into this environment. What I expect 1. A multi-object tracker with integrated re-identification that preserves the same unique ID through occlusion, crossings, short disappearances, or camera changes...

AI Tool: Convert Architectural Casework Elevations (PDF) into Editable AutoCAD DWG Files with Self-Training Interface Project Description I need a custom AI tool that automatically reads architectural casework elevation drawings (PDFs) and generates complete, editable AutoCAD DWG files using my existing multiple block libraries. The tool must detect cabinets, sinks, fixtures, shelving, countertops, and miscellaneous equipment, then place the correct blocks with accurate dimensions, countertop outlines, and section views. It must also include a natural language self-training interface so a non-technical user can teach and refine the AI using plain English rules or by correcting the output drawing. This is Phase 1 (Proof of Concept) of a larger initiative. Future phases will expand to multip...