How to validate YOLO labels before training
Check YOLO labels, images, classes, and box geometry before starting a training run.
Labelyst blog
Dataset quality guides
How to check COCO annotations before a training run
A practical COCO annotation review before model training.
Why repeated labels are not always duplicate annotations
How to separate valid repeated objects from accidental duplicate annotations.
How train-test leakage makes computer-vision evaluation misleading
Find cross-split duplicates before trusting computer-vision metrics.
A practical guide to invalid bounding boxes
Find empty, inverted, and out-of-bounds boxes before training.
How to diagnose class imbalance in an image dataset
Review per-class coverage before interpreting model metrics.
How to validate segmentation masks without uploading the dataset
Check masks and polygons locally before segmentation training.
How to audit an annotation-vendor delivery
Use a repeatable local acceptance check for vendor data.
How to add a local dataset quality gate to CI
Stop known dataset regressions before a training job starts.
What a useful dataset quality report should disclose
Read a dataset report as evidence, not a certification.