datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
face-anti-spoofing-dataset
Face Antispoofing dataset for liveness detection
Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing
This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. By aggregating live sessions and eleven realistic presentation-attack classes into one collection, it accelerates development toward iBeta Level 1/2 compliance and strengthens model robustness against the full spectrum of spoofing… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/face-anti-spoofing-dataset.gnss-jamming-spoofing-detection
GNSS Jamming & Spoofing Detection Dataset
A physics-informed synthetic dataset for detecting GPS/GNSS cyber-attacks
(Jamming and Spoofing) from satellite-signal features. Built for the
GNSS Guardian project — Introduction to Data Science final project.
Overview
14,850 samples across 450 scenarios × 33 time-steps each
3 balanced classes: Normal / Jamming / Spoofing (4,950 each)
26 columns: multi-constellation signal features + attack metadata + text descriptions… See the full description on the dataset page: https://huggingface.co/datasets/Omrilevi123/gnss-jamming-spoofing-detection.anti-spoofing-datasetsmulti-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.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.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_replayThe dataset consists of 40,000 videos and selfies with unique people. 15,000
attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
10,000 attacks with cut-out printouts.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.anti-spoofing-replay-phone-videos
Anti-spoofing Dataset
The dataset contains 38,029 videos organized into 20,018 paired sets of facial recordings captured on various mobile devices. It provides rich training data for developing and evaluating anti-spoofing algorithms, recognition systems, and liveness detection technologies
By utilizing this dataset, developers and research teams can significantly enhance biometric data quality, improve attacks detection accuracy, and create more secure authentication systems… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/anti-spoofing-replay-phone-videos.anti-spoofing_Real
Anti Spoofing Real - Liveness Detection dataset
The Biometric Attack dataset consists of 98,000 videos and selfies from people from 170 countries. The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes a novel approach that learns and detects spoofing techniques, extracting features from the genuine facial images to prevent the capturing of such information by fake users.
The dataset contains images and… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/anti-spoofing_Real.face-anti-spoofing-dataset
Face Antispoofing dataset for liveness detection
Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing
This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. By aggregating live sessions and eleven realistic presentation-attack classes into one collection, it accelerates development toward iBeta Level 1/2 compliance and strengthens model robustness against the full spectrum of… See the full description on the dataset page: https://huggingface.co/datasets/helloleandronascimento/face-anti-spoofing-dataset.Voice_spoofing_database_foldersanti-spoofing-casiafasdMannequin_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.3d_cloth_face_mask_spoofing_dataset
Textile 3D Face Mask Attack Dataset
Cloth mask attack dataset for anti-spoofing and liveness detection — 11,000+ videos of elastic textile masks with printed faces on Samsung S23 and iPhone 14 Pro. ISO 30107-3 Level 2 attack category, iBeta Level 2 certification prep
Overview
Cloth mask attack dataset for training anti-spoofing and liveness detection models — 11,000+ videos of elastic textile face masks (balaclava-type) with printed facial images. Captured on Samsung S23… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/3d_cloth_face_mask_spoofing_dataset.anti-spoofing-replay-pc-videos
Anti-spoofing Dataset
The dataset consists of 4,714 videos from 4,714 people, each featuring real faces recorded via personal computers. Designed for training data generation and benchmark recognition tasks, it offers diverse spoofing attacks and attack scenarios essential for evaluating facial recognition and liveness detection performance.
By including a wide range of replay attacks and video recordings in MP4 and MOV formats, this dataset supports the development and… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/anti-spoofing-replay-pc-videos.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.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.anti-spoofing-real-waist-high-datasetThe dataset consists of waist-high selfies and video of real people.
The dataset solves tasks in the field of anti-spoofing and it is useful
for buisness and safety systems.312-People-3D-Living_Face-Anti_Spoofing-Data
Description
312명 규모의 3D 안면 안티 스푸핑 데이터셋으로, 실내 및 실외 환경에서 수집된 데이터를 포함합니다. 남성과 여성 모두 포함하며, 연령은 아동부터 고령층까지 다양한 범위로 구성되어 있고 청년층과 중년층이 주를 이룹니다. 데이터 수집에는 iPhone X와 iPhone XR을 사용했습니다. 다양한 표정, 얼굴 자세, 안티 스푸핑 샘플, 다양한 조명 조건 및 다양한 환경을 포함하여 데이터의 다양성을 확보했습니다. 본 데이터셋은 3D 얼굴 인식, 3D Living Face 및 안면 안티 스푸핑 등의 작업에 활용할 수 있습니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/computervision/1089?source=hf.kr
Data size
312명, 1인당 168장의 이미지
Population distribution
인종… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/312-People-3D-Living_Face-Anti_Spoofing-Data.anti-spoofing-nuaaaaAnti-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.anti-spoofingFace-Spoofing-in-the-Wild-Multi-Mask
Liveness Detection Dataset in the Wild with High Variety
Spoof in the Wild Dataset
Dataset for PAD/liveness detection with three classes of presentation attacks: cardboard masks with cut-out eyes; elastic textile mesh masks with full-color face printing; full-size latex 3D masks. Mask types were selected based on real-world attack scenarios
The key value is high variety:
different actors, a large number of individual masks, various lighting (indoor/outdoor… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Face-Spoofing-in-the-Wild-Multi-Mask.face-anti-spoofing-dataset
Face Antispoofing dataset for liveness detection
Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing
This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. By aggregating live sessions and eleven realistic presentation-attack classes into one collection, it accelerates development toward iBeta Level 1/2 compliance and strengthens model robustness against the full spectrum of spoofing… See the full description on the dataset page: https://huggingface.co/datasets/VonRommel/face-anti-spoofing-dataset.face-anti-spoofing-advanced-paper-attacks
Liveness Detection Dataset: iBeta level 2 advanced mask attacks (5 K videos)
Anti-Spoofing Paper Attacks iBeta 2 - 5,000 videos
4 different attack types, advanced paper attacks for Liveness Detection
Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs to purchase the dataset 💰
Types of Presentation Attacks (paper masks)
1. Printed attributes on photo – a flat facial photo with accessories (e.g., glasses, hat)… See the full description on the dataset page: https://huggingface.co/datasets/kakusyun/face-anti-spoofing-advanced-paper-attacks.face-anti-spoofing-dataset
Face Antispoofing dataset for liveness detection
Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing
This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. By aggregating live sessions and eleven realistic presentation-attack classes into one collection, it accelerates development toward iBeta Level 1/2 compliance and strengthens model robustness against the full spectrum of… See the full description on the dataset page: https://huggingface.co/datasets/marcusmball/face-anti-spoofing-dataset.anti_spoofingVoice_spoofing_database_folders_2