I will image data annotation, labeling and segmentation

Clean, accurate training data is the difference between an AI model that works

and one that doesn't. That's exactly what I deliver.

I'm a Computer Vision Data Engineer who has produced production-grade labeled

datasets under strict quality assurance bounding boxes, classification, and

segmentation and audited datasets to improve accuracy and reduce labeling bias.

Your model is only as good as your labels, and I treat them that way.

WHAT I ANNOTATE

- Bounding boxes for object detection

- Polygon, semantic & instance segmentation (pixel-accurate masks)

- Image classification and tagging

- Keypoint / landmark annotation

- Video annotation, frame by frame

EXPORT-READY FOR YOUR PIPELINE

YOLO · COCO JSON · Pascal VOC · segmentation masks (PNG) · CSV / custom JSON

delivered in whatever format your training pipeline needs.

WHY ME

- Real production experience labeling datasets to strict QA standards

- I audit for accuracy and reduce labeling bias not just click boxes

- Consistent class definitions and clean, balanced, model-ready output

- Tools: CVAT, Roboflow, Label Studio, LabelImg

- On-time delivery and clear communication