Machine learning annotation quality control
Know your dataset before your model does.
Find label, geometry, split, and image problems before training a machine learning model. Get one clear score and a practical repair list.
CSV, JSON, JSONL, COCO, YOLO, Pascal VOC, and LabelMe. Up to 150MB.
EXAMPLE QUALITY REPORTPreview
Example score
92
Excellent
Labels100/100
Geometry96/100
Image quality78/100
Illustrative report. Upload a dataset to calculate your score.
Private by design
Files stay in this browser
01
Clean labels
Find naming drift, empty values, duplicates, and imbalance.
02
Trust geometry
Validate boxes, polygons, masks, keypoints, and overlaps.
03
Inspect images
Flag blur, exposure, corruption, rotation, and duplicates.
04
Ship evidence
Export repair lists, reports, policies, and version comparisons.
No cookies. No account. No dataset telemetry. Your files never leave your browser.