Why ‘curate first, annotate smarter’ is reshaping computer vision development
Computer vision teams face an uncomfortable reality. Even as annotation costs continue to rise, research consistently shows that teams annotate far more data than they actually need. Sometimes teams annotate the wrong data entirely, contributing little to model improvements. In fact, by some estimates, 95% of data annotations go to waste. The problem extends beyond…