In cooperation with IARPA, NIST is currently running three challenges related to processing of unconstrained in-the-wild face images. These are intended to drive research and development into face detection, verification, identification, and identity clustering. A secondary goal is to establish definitive evaluation metrics and reporting.
Face Recognition Prize Challenge
The IARPA Janus Benchmark-B face challenge (IJB-B) defines eight challenges addressing verification, identification, detection, clustering and processing of crowded images. This is supported by a the IJB-B set of 67000 face images, 7000 face videos, and 10000 non-face images. Dataset Challenge Documentation CVPR Paper
The IARPA Janus Benchmark-A face challenge (IJB-A) was an open challenge in which researchers executed algorithms on NIST-provided image sets, and returned output data to NIST for scoring. IJB-A has been superseded by IJB-B. Its images form a subset of IJB-B. Dataset Results CVPR paper
The Face Recognition Vendor Test is an ongoing evaluation of face recognition algorithms applied to large image databases sequestered at NIST. Algorithms may be submitted to NIST at any time, and results will be posted when ready, usually within two weeks. Homepage API