Dataset – IBM Diversity in Faces
The Diversity in Faces (DiF) is a large and diverse dataset that seeks to advance the study of fairness and accuracy in facial recognition technology.The first of its kind available to the global research community, DiF provides a dataset of annotations of one million human facial images. How do we measure and ensure diversity for