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.low_quality_webcam_video_attacksThe dataset includes live-recorded Anti-Spoofing videos from around the world,
captured via low-quality webcams with resolutions like QVGA, QQVGA and QCIF.2d-masks-pad-attacks
2D Masks with Eyeholes Attacks
The dataset comprises 11,200+ videos of people wearing of holding 2D printed masks with eyeholes captured using 5 different devices. This extensive collection is designed for research in presentation attacks, focusing on various detection methods, primarily aimed at meeting the requirements for iBeta Level 1 & 2 certification. Specifically engineered to challenge facial recognition and enhance spoofing detection techniques.
By utilizing this… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/2d-masks-pad-attacks.MacBook-Attacks-DatasetThe dataset consists of videos of replay attacks played on different
models of MacBooks. The dataset solves tasks in the field of anti-spoofing and
it is useful for buisness and safety systems.
The dataset includes: **replay attacks** - videos of real people played on
a computer and filmed on the phone.high_quality_webcam_video_attacksThe dataset includes live-recorded Anti-Spoofing videos from around the world,
captured via **high-quality** webcams with Full HD resolution and above.monitors-replay-attacks-datasetThe dataset consists of videos of replay attacks played on different models of
computers. The dataset solves tasks in the field of anti-spoofing and it is
useful for buisness and safety systems.
The dataset includes: **replay attacks** - videos of real people played
on a computer and filmed on the phone.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.attacks-with-2d-printed-masks-of-indian-people
Attacks with 2D Printed Masks of Indian People - Biometric Attack Dataset
The dataset consists of videos of individuals wearing printed 2D masks of different kinds 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 3-4 seconds.
The similar dataset that includes all ethnicities - Printed 2D Masks Attacks Dataset
Types of… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/attacks-with-2d-printed-masks-of-indian-people.biometric-attacks-in-different-lighting-conditions
Biometric Attack Dataset - Different Lighting Conditions Dataset
The liveness detection dataset consists of videos of individuals and attacks with photos shown in the monitor . Videos are filmed in different lightning conditions (in a dark room, daylight, light room and nightlight) and in different places (indoors, outdoors). Each video in the dataset has an approximate duration of 20 seconds.
The dataset is created on the basis of iBeta Level 1 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/biometric-attacks-in-different-lighting-conditions.printed-2d-masks-attacks
2D Masks Attack for facial recogniton system
The dataset consists of 4,800+ videos of people wearing of holding 2D printed masks filmed using 5 devices. It is designed for liveness detection algorithms, specifically aimed at enhancing anti-spoofing capabilities in biometric security systems.
By leveraging this dataset, researchers can create more sophisticated recognition system, crucial for achieving iBeta Level 1 & 2 certification – a key standard for secure and reliable… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/printed-2d-masks-attacks.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.