Visual Kinship Recognition with the Families in the Wild Computer Vision Dataset

FiftyOne is an open-source machine learning toolset designed to enhance computer vision model performance by facilitating high-quality dataset curation, model evaluation, error detection, and faster production deployment. The Families in the Wild (FIW) dataset, featured in FiftyOne's Dataset Zoo, serves as a comprehensive benchmark for visual kinship recognition, containing over 26,000 images of 5,000 faces from nearly 1,000 families, including those of well-known personalities. Developed by Northeastern University's SMILE Lab, FIW aids in identifying family relationships and constructing family trees, with applications in search identification, refugee crises, missing children cases, and genealogy research. The dataset's complexity arises from challenges like intra- and inter-class variations and insufficient labeled data, which it aims to address through its large-scale collection. FiftyOne provides utilities for easy dataset exploration and integration, allowing users to manage kinship and relationship labels efficiently and supports various computer vision tasks through its extensive dataset offerings.