I will build an ai that detects and tracks objects in your videos


About this gig
I build computer vision pipelines that detect, track and count objects in video. Send me your footage and tell me what you need to find: vehicles, people, parking spaces or a custom object. I return annotated video and structured data (CSV or database) you can use directly. What I offer: - Object detection with YOLOv8 (pretrained, or custom-trained on your labeled data) - Multi-object tracking with DeepSORT - Counting by line crossing or zone (traffic counting, parking occupancy) - Collision and overlap detection (IoU) - Power BI dashboards for accuracy and throughput - Dockerized code, deployment to Azure or GCP VMs I have built real-time detection and tracking pipelines on live video feeds, with Weights & Biases experiment tracking and CI/CD deployments. Sample projects: parking-slot occupancy detection and a street vehicle counter.
How it works:
1. You send a short sample video and describe the goal.
2. I confirm what is feasible and what accuracy to expect.
3. I deliver the output and code.
Get to know Muhammet M
Data Engineer
- FromBelgium
- Member sinceOct 2026
- Avg. response time1 hour
Languages
English, Turkish, French, Dutch

