I will build custom yolo object detection, tracking and counting models
About this Gig
Need a computer vision model that works on YOUR images or videos? I'm a deep learning researcher at LUMS (Lahore University of Management Sciences), and I build custom YOLO models that detect, track and count objects in real-world footage.
What I can build:
- Custom object detection: vehicles, people, products, defects, animals, PPE and more
- Multi-object tracking (ByteTrack / DeepSORT) with line or zone counting
- Dataset labeling, cleaning and augmentation
- Real-time inference on video, CCTV streams or webcam
What you get:
- Trained model weights (YOLOv8 / YOLO11)
- Clean, documented Python code
- Inference script for images, videos and live cameras
- Evaluation report: mAP, precision, recall, confusion matrix
Message me with a few sample images BEFORE ordering, so I can confirm what accuracy is realistic for your data.
Programming language:
Python
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Colab
Tools:
Jupyter Notebook
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OpenCV
•
CVAT
•
PyTorch
Frameworks:
Scikit-learn
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Keras
•
PyTorch
Other Data Science & ML Services I Offer
FAQ
Do I need a labeled dataset?
No. Basic expects labeled images, but the Standard and Premium packages include labeling. If you only have raw images or videos, message me and I will suggest the best option.
Can the model run on video, CCTV or a webcam?
Yes. Every package includes an inference script that works on images, video files and live camera or RTSP streams. I can also export to ONNX for faster deployment.
What do you need from me to start?
Your images or videos (or a link to them), the list of objects you want detected, and how you plan to use the model. I will confirm feasibility before we begin.

