datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Display_replay_attacks
Face Anti Spoofing Replay Dataset
iBeta Level 1 Dataset
Liveness Detection: Replay attacks. 5,000+ videos of display replay monitor attacks 12+ sec and real photos. The attacks provide diversity of lighting, devices, and screens
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Left: Real selfie; Right: Display attack
Left: Real selfie; Right: Display attack
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Display_replay_attacks.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.Wrapped_3D_Attacks
Wrapped 3D Attacks Dataset
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Introduction
This dataset is designed to enhance Liveness Detection models by simulating Wrapped 3D Attacks — a more advanced version of 3D Print Attacks, where facial prints include 3D elements and additional attributes. It is particularly useful for iBeta Level 2 certification and anti-spoofing model… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Wrapped_3D_Attacks.Robustness-of-AI-Generated-Image-Detection-Against-Localized-Inpainting-Attacks
Robustness of AI-Generated Image Detection Against Localized Inpainting Attacks
This repository hosts the detector-ready datasets and mask packs used in the thesis:
Robustness of AI-Generated Image Detection Against Localized Inpainting AttacksOguz Akin, Saarland University, CISPA Helmholtz Center for Information Security (2025)
It provides standardized evaluation splits for six state-of-the-art AI-generated image (AIGI) detectors across watermarking, passive, and training-free… See the full description on the dataset page: https://huggingface.co/datasets/eoguzakin/Robustness-of-AI-Generated-Image-Detection-Against-Localized-Inpainting-Attacks.