I will train custom yolov8 yolov11 object detection, tracking and counting model

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Usama

About this gig

Need a high-accuracy YOLO model for object detection, counting or tracking? You are in the right place.


I am Muhammad Usama, an AI & Computer Vision engineer. I train custom YOLOv8 / YOLOv11 models that are fast, accurate and ready for real-world use.


What you get:

- Custom YOLO training on your dataset (annotation help included)

- Object counting & tracking: vehicles, people, products, animals

- Line-crossing, zone-based and directional counting

- Real-time detection on webcam, RTSP / CCTV streams and video files

- Desktop GUI (Tkinter / PyQt) or web dashboard (Streamlit / FastAPI)

- Export to ONNX / TensorRT for edge devices (Jetson, Raspberry Pi)

- Full source code, trained weights, setup guide and accuracy report


Use cases: traffic analysis, retail footfall, warehouse inventory, safety-helmet / PPE detection, farm and wildlife monitoring.


Packages:

Basic: pre-trained YOLO on your data + detection script

Standard: custom training (up to 500 images) + tuned accuracy

Premium: full system: counting + tracking + GUI + database


Message me before ordering so I can confirm your scope and timeline.

Get to know Usama

Usama

Machine Learning and Deep Learning

  • FromPakistan
  • Member sinceMay 2023
  • Languages

    English, German
For 3+ years, I’ve been solving real-world problems through AI by turning raw data into intelligent systems. I specialize in Machine Learning, Deep Learning, Computer Vision, NLP, LLM applications, and Predictive Analytics. I’ve built stress, anxiety, and depression detection systems using facial analysis and deep learning. From data preprocessing to deployment, I build end-to-end AI solutions for healthcare, finance, automation, and scalable intelligent applications.

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