Download our training set containing 672K identities and train your algorithm on the data (link)

Download MegaFace disjoint distractors (link), FaceScrub (.tgz), FGNet (.tar.gz), and development kit (.zip) (.tar.gz)

Run your algorithm (trained on our data) to produce euclidean features for all datasets. The development kit includes a script to save to the correct feature format.

Run our experiment evaluation script (included in the development kit) with 10, 100, 1000, 10000, 100000, 1000000 distractors. Updated instructions for Challenge 2 evaluation can be found in the development kit README.

Upload results into the google drive folder you received with access information. Please also upload links to features files for the full FaceScrub, FGNet, and disjoint MegaFace datasets