I will build a custom computer vision application with yolo and opencv

Your images and video are full of information you're not using. I build computer vision systems that turn raw visual data into real-time, actionable output.

I'm a computer vision engineer with 5 years of experience self-taught and formally educated specializing in YOLO object detection and OpenCV pipelines in Python.

Why work with me:

• Built the highest-accuracy League of Legends minimap champion detector currently in existence
• Core contributor to chesscam.net - detects chess moves from video, exports PGN, supports live detection and real-time online play with a physical board
• Published on arXiv: "Comparative Analysis of Different Methods for Classifying Polychromatic Sketches." My best model hit 47.5% Top-1 accuracy beating human performance on the dataset (41%)
• I train on my own RTX 4090, so you pay nothing for cloud GPU time

What you get:

• Custom YOLO models trained on your dataset
• Object detection, tracking, classification, OCR, segmentation
• Clean, documented Python source code + trained weights
• Deployment as a web app or desktop application
• Post-delivery support

Not sure which package fits? Message me your use case I'll tell you what's achievable.