I will build custom object detection, segmentation model

I build and deploy custom object detection models for industrial quality control, defect inspection, and real-time visual monitoring.

What I bring:

• Hands-on experience training and deploying YOLOv8, RF-DETR, and MVANet for industrial defect detection and product inspection pipelines
• Co-author of a research paper on footwear defect inspection (published at IPMV 2026), focused on efficient, compact detection models
• Full pipeline capability: data preprocessing model training evaluation REST API deployment (FastAPI)

What you get:

• A trained model tailored to your specific object/defect classes
• Clear accuracy metrics (precision, recall, mAP) so you know exactly how well it performs
• Clean, documented inference code not a black box

I work best with clients who already have a dataset (even small/unlabeled I can guide you on this). Let's discuss your use case before you order to make sure I understand your requirements correctly.