datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
printed-2d-masks-with-holes-for-eyes-attacksThe dataset consists of selfies of people and videos of them wearing a printed
2d mask with their face. The dataset solves tasks in the field of anti-spoofing
and it is useful for buisness and safety systems.
The dataset includes: **attacks** - videos of people wearing printed portraits
of themselves with cut-out eyes.2d-masks-presentation-attack-detectionThe dataset consists of videos of individuals wearing printed 2D masks or
printed 2D masks with cut-out eyes and directly looking at the camera.
Videos are filmed in different lightning conditions and in different places
(indoors, outdoors). Each video in the dataset has an approximate duration of 2
seconds.2d-paper-mask-face-anti-spoofing
Cut-Out Paper Mask Face Spoofing Dataset
3,000 videos of partial 2D paper mask attacks from 50 participants, recorded on Galaxy A54 and iPhone 14 Pro. Built for training and evaluating face anti-spoofing, liveness detection, and presentation attack detection systems.
Full dataset for commercial use — request a license at axonlab.ai
Why Cut-Out Masks Are a Harder Problem
Standard print attack and paper mask datasets use full-face photo printouts. Cut-out masks are… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/2d-paper-mask-face-anti-spoofing.