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


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
Machine Learning and Deep Learning
- FromPakistan
- Member sinceMay 2023
Languages
English, German
My Portfolio
Other AI Development Services I Offer
FAQ
What is object detection and how does it work?
Object detection is AI technology that identifies and locates objects in images/videos. I use YOLO (You Only Look Once), which detects objects in real-time with high accuracy. It's like giving eyes to your computer!
Do I need to provide my own dataset/images?
Yes, for best results you need to provide images of the objects you want to detect. If you don't have dataset, I can help you collect images or use pre-trained models. Contact me to discuss options!
Can you detect multiple objects at once?
Absolutely! Standard package supports 5-10 different object classes. Premium package handles unlimited classes with complex tracking. Examples: detect cars, bikes, people, products all at the same time!
Do you provide source code?
Yes! All packages include source code. Basic: Python script + notebook. Standard: full project + documentation. Premium: production code + API + docs.
Can it run in real time on CCTV or webcam?
Yes. I optimize for 20-30+ FPS on GPU and provide ONNX / TensorRT export for edge devices like Jetson and Raspberry Pi.
What accuracy can I expect?
Typically 85-95% mAP depending on dataset quality and size. I share validation metrics and sample results before delivery.

