I will do object detection, tracking, and model training using yolo and python


Über diesen Service
Need to detect, count, or track objects in images or video? I build custom computer vision solutions using YOLO v8 and Python.
I am an NVIDIA Inception member, and my team specializes in production-grade computer vision systems deployed across manufacturing, retail, and security industries in 6 countries.
Lerne Poriya kennen
AI App Development Expert, Computer Vision, OpenCV, Object Detection
- AusIndien
- Mitglied seitJuni 2016
- ⌀ Antwortzeit1 Stunde
- Letzte Lieferung2 Jahre
Sprachen
Gujarati, Englisch, Hindi
Mein Portfolio
FAQ
Can you train YOLO to detect my custom objects?
Yes. I can train YOLO v8 to detect ANY object. You provide 200-500 labeled images of your target objects (or I can help with labeling), and I train a custom model specifically for your use case. Detection accuracy typically reaches 85-95% with good training data.
Can this work on live CCTV or webcam feeds?
Absolutely. I build systems that process live RTSP camera streams in real-time. For edge deployment (no cloud needed), I deploy on NVIDIA Jetson devices. For cloud deployment, I use Docker containers with GPU support.
What if I don't have labeled training data?
No problem. I can help you label your images using professional annotation tools, or I can use publicly available datasets to build a base model and fine-tune it on your specific data.
What accuracy can I expect?
Accuracy depends on data quality and complexity. For well-lit, clear scenarios (like product detection on a conveyor belt), 90-95% is typical. For challenging scenarios (like detecting small defects or low-light conditions), 80-90% is realistic. I'll give you an honest assessment before you order.
Do you provide the source code?
Yes. You get the complete source code, trained model file, and documentation. You own everything. I also provide a setup guide so you or your developer can run and modify the system.

