I will annotate your dataset with precise yolo bounding boxes

I annotate images for YOLO with clean, consistent bounding boxes. I've fine-tuned YOLO models myself, so I know consistent annotation makes the difference between a model that works and one that doesn't.

  My rules: motion blur = full streak, occlusion = visible pixels only, 0% visible = skip, tight boxes, consistent across all images.

  Formats: YOLO .txt, COCO, Pascal VOC. Tools: CVAT, LabelImg, Roboflow.

  Packages:

  BASIC $95 | 250 images | 2 days

  Up to 3 classes. Bounding boxes on visible objects. Occlusion rules applied. YOLO .txt format. ZIP delivery.

  STANDARD $265 | 700 images | 6 days

  Up to 6 classes. Everything in Basic + motion blur, partial objects. 1 revision round. CVAT or ZIP.

  PREMIUM $800 | 2,000 images | 14 days

  Up to 10 classes. Everything in Standard + full dataset QC & uniformity check. 2 revision rounds. YOLO-ready folder structure.

  Extra classes: +20% per +3 additional classes. Contact me for custom quotes.