Continuing on its open source tear, Meta today released a new AI benchmark, FACET, designed to evaluate the “fairness” of AI models that classify and detect things in photos and videos, including people. Made up of 32,000 images containing 50,000 people labeled by human annotators, FACET — a tortured acronym for “FAirness in Computer Vision … Continue reading Meta releases a dataset to probe computer vision models for biases