Data labeling for a computer-vision dataset

  • Partially remote

Project description

I have an image dataset that needs careful, consistent labeling for a computer-vision model. Bounding boxes and class tags following a clear guide.

What's involved:

  • Label images per my annotation guidelines
  • Consistent, accurate bounding boxes and class labels
  • Flag ambiguous cases rather than guessing
  • Deliver in the agreed format (COCO/YOLO/CSV)

Hourly, potentially ongoing. Attention to detail is everything here.

Skills required

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