Better AI Starts With Better Data: The Hidden Annotation Errors in Object Detection Datasets
Annotation errors are not a rounding error in the benchmarks the computer vision industry has trusted for a decade. Bounding boxes and class labels are the ground truth that every artificial intelligence vision system is trained on and then graded against, so a mistake in the labels is a mistake the model inherits twice over. […]