I will build a custom yolo object detection model for your project


About this gig
Are you looking to add powerful object detection capabilities to your application? I specialize in building custom YOLOv11 models tailored to your specific use case whether it's detecting people, vehicles, safety hazards, defects, or any custom object class from your images or video feeds. I don't just train a model and hand it over I fine-tune it on your dataset, evaluate its performance with clear metrics, and integrate it directly into your existing application so it works out of the box. Whether you need a lightweight single-class detector or a fully deployed multi-class API, I'll make sure the final solution is accurate, well-documented, and ready to use. Let's discuss your project and get your detection model built.
Get to know Ahad Sheikh
AI Engineer
- FromPakistan
- Member sinceMay 2020
- Avg. response time1 hour
Languages
Urdu, English
FAQ
What format should I provide my dataset in?
Images or video with labeled annotations (YOLO, COCO, or Pascal VOC format) work best. If your data isn't labeled yet, I can also help with annotation for an additional fee.
Can you detect multiple objects at once?
Yes. Basic covers single-class detection, while Standard and Premium support multi-class detection.
Do I need to provide my own dataset?
Ideally yes, for the best accuracy on your specific use case. If you don't have one, I can source a public dataset or discuss data collection options with you.
Will the model work in real-time (video/webcam)?
Yes, YOLOv11 is optimized for real-time inference. I can configure it for live video, webcam, or CCTV feed detection depending on your needs.
What do I receive at the end of the project?
A trained model file, an evaluation report, and (depending on your package) source code and/or a deployable API with documentation.

