I will build a custom yolo object detection model for you

I build custom computer vision and object detection solutions using YOLOv8, OpenCV, and Python from raw data to a fully working, trained model.

Example project: Automated License Plate Recognition (ALPR)

I trained a custom YOLOv8 model to detect license plates in vehicle images, integrated Tesseract OCR to read the plate text, and built a live interactive web app for real-time testing.

91% mAP50 accuracy

85% precision, 88% recall

Full pipeline: dataset preparation model training OCR integration deployment

What you'll get:

- A custom-trained detection model on your dataset (or a similar public dataset if you don't have one)

- Clean, documented Python code

- A simple demo interface (Gradio/Streamlit) if needed

- Guidance on retraining or extending the model later

Use cases I can help with: license plates, defect detection, object counting, face/person detection, product recognition, or any custom detection task.

Message me with your requirements before ordering, so I can confirm the scope fits your needs this helps avoid delays and ensures the best result for your project.