datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
face-anti-spoofing
Face Antispoofing dataset for recognition systems
The dataset consists of 98,000 videos and selfies from 170 countries, providing a foundation for developing robust security systems and facial recognition algorithms.
While the dataset itself doesn't contain spoofing attacks, it's a valuable resource for testing liveness detection system, allowing researchers to simulate attacks and evaluate how effectively their systems can distinguish between real faces and various forms of… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/face-anti-spoofing.multi-material-fingerprint-spoofing
Fingerprint Spoofing
The dataset contains over 4,000+ photos from 100 people, consisting of fingerprints images and spoofing attacks created using various spoofing materials such as alginate, plasticine, and silicone. It serves as essential training data for biometric systems focused on fingerprint recognition and spoof detection.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in biometric security and spoof detection… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/multi-material-fingerprint-spoofing.biometric-fingerprint-spoofing
Fingerprint Spoofing
The dataset comprises 5,000+ high-quality fingerprint images collected from 100 individuals (ten fingers per person) captured using multiple fingerprint scanners and biometric sensors. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.
By utilizing this data, researchers and… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/biometric-fingerprint-spoofing.Anti_Spoofing_Cut_print_attack
Cut 2D Masks Presentation Attack Detection for Liveness Detection (2K+ individuals)
Liveness Detection Dataset with video attacks with printed 2D masks. This dataset focuses on cutout photo print attacks which might be used by iBeta and NIST FATE to assess liveness detection algorithms. This dataset is tailored for training AI models to identify a variation of cutout 2D print attack
Full version of dataset is availible for commercial usage - leave a request on our… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Anti_Spoofing_Cut_print_attack.Mannequin_Dataset_Anti_Spoofing
3D Mannequin Face Dataset for Liveness Detection (1K+ pictures)
Explore 3D mannequins for anti-spoofing models (1000+ images)
Share your feedback - recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Our 3D Mannequin Anti-Spoofing Dataset provides a comprehensive collection of mannequin images, optimized for enhancing liveness detection models in face anti-spoofing.… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Mannequin_Dataset_Anti_Spoofing.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.print-cardboard-mask-face-spoofing
Cardboard Mask Face Anti-Spoofing Dataset
3,000 videos from 50 participants of print cardboard mask attacks with real accessories - wigs, hats, glasses. Recorded on iPhone 12, iPhone 14 Pro, and Samsung S23. 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 Accessory-Enhanced Masks Are a Harder Problem
Standard print attack datasets… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/print-cardboard-mask-face-spoofing.Anti-Spoofing-Real-Videos
Face Anti Spoofing Dataset - 98 000+ files
Dataset features 98,000+ files of real photos and videos of people from 170+ countries, representing 70,000+ unique individuals. By leveraging this dataset, developers can enhance spoofing detection techniques, improve recognition systems, and deploy anti-spoofing algorithms capable of preventing fraud in deep learning-based solutions.- Get the data
Dataset characteristics:
Characteristic
Data
Description
Live… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/Anti-Spoofing-Real-Videos.biometric-fingerprint-spoofing
Fingerprint Spoofing Dataset 5,000 photos
Dataset contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple spoofing fingerprint attack types, including print and replay scenarios. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.- Get the data
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/biometric-fingerprint-spoofing.multi-material-fingerprint-spoofing
Fingerprint Spoofing Dataset 4,000 photos
The dataset contains 4,000+ fingerprint images from 100 individuals, captured with a ZKTeco ZK9500 optical scanner and including real fingerprints and spoofing attacks created with alginate, plasticine, and silicone materials. It includes metadata (gender, age, finger, hand, device) and supports biometric security research, presentation attack detection, spoof detection, and fingerprint recognition model training.- Get the data… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/multi-material-fingerprint-spoofing.