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

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Muhammet M

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

Muhammet M

Data Engineer

  • FromBelgium
  • Member sinceOct 2026
  • Avg. response time1 hour
  • Languages

    English, Turkish, French, Dutch
I am a curious, self-driven Data Engineer with solid foundations in Python, SQL, and cloud environments like Azure and GCP. I have experience orchestrating pipelines with Airflow and preparing large-scale datasets on Databricks. I am comfortable owning end-to-end ETL/ELT pipelines and building automated reporting tools to help stakeholders gain actionable insights from operational data.