I will do image annotation and data labeling for yolo

I'm a computer vision engineer with 15+ years in regulated manufacturing (medical devices, pharma). I build and deploy YOLO models on real production lines so I annotate the way a model actually needs to be fed.

WHAT YOU GET

• Bounding boxes, polygons, segmentation masks or keypoints
• YOLO format (COCO, Pascal VOC or CSV on request)
• Stratified train/val/test splits
• Class balance and consistency report
• Trained YOLOv8 baseline with mAP metrics, proving your labels work (Premium)

WHY IT MATTERS

Inconsistent labels are the top reason models underperform. Ambiguous edges, missed small objects, drifting class definitions I catch these because I've had to debug them in production.

TOOLS: CVAT, Roboflow, LabelImg, Labelbox

Industrial, manufacturing, inspection, retail, agriculture, traffic and medical imagery. Video annotation with consistent object IDs across frames also available.

Send me a sample and tell me what you need detected. I'll tell you how many images you actually need and quote it before you order.