“We were very happy with the quality of the data that we purchased. It will assist our efforts to improve our product. The team at Unidata was very responsive to our needs, and provided the data format needed to complete our tasks. We are happy to state that Unidata delivers a high quality product in an effective and efficient manner.”
Commercial
Fabric Masks and Disguise Presentation Attack Dataset
High-quality face anti-spoofing dataset containing 9,090 HD and 4K videos of people wearing fabric and cloth face masks. Designed for presentation attack detection and face recognition research, this face mask detection dataset includes varied lighting, camera types, and demographic diversity to support robust mask detection and biometric security model training.
-
- Videos
- 9,090
-
- people
- 101
- Facial Recognition
- iBeta
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
- Facial Recognition
- iBeta
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
High-quality face anti-spoofing dataset containing 9,090 HD and 4K videos of people wearing fabric and cloth face masks. Designed for presentation attack detection and face recognition research, this face mask detection dataset includes varied lighting, camera types, and demographic diversity to support robust mask detection and biometric security model training.
- Facial Recognition
- iBeta
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
-
- Videos
- 9,090
-
- people
- 101
Dataset Info
| Characteristic | Data |
| Description | Videos of people in fabric masks training algorithms to detect biometric hacking attempts. |
| Data types | Video |
| Tasks | Face recognition, Computer Vision |
| Total number of videos | 9,090 |
| Total number of people | 101 |
| Labeling | Only technical characteristics and metadata (age, gender, ethnicity, glasses, wig, camera, light condition, background) |
| Gender | Male(50%), Female(50%) |
| Ethnicity | Caucasian, African, Asian |
Fintech hit by 100K biometric spoofing attacks monthly
Discover how top fintechs prevent fraud — download our free white paper
Statistics
- Distribution by gender
Before You Buy The Full Set
This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.
Show me what fails
Technical
Characteristics
| Characteristic | Data |
| Video Extensions | Mp4, MOV |
| Video Resolutions | Min = 1920х1080, Max = 3840х2160 |
| Video Duration | 3-5 second |
| Number of background | 5 |
| Devices | Samsung, iPhone, Xiaomi, Huawei |
Dataset Use Cases
FAQs
What is included in this dataset?
The dataset comprises 9 090 high-resolution video clips of 101 individuals wearing various fabric masks and disguises. Videos include metadata such as age, gender, ethnicity, glasses, wigs, camera type, lighting, and background, with video durations of 3–5 seconds.
What types of annotations are provided?
Each video is labeled with technical metadata, including subject age, gender, ethnicity, mask type, accessories, lighting conditions, camera device, and background. These annotations enable supervised learning for face anti-spoofing and mask detection systems.
Can I request a sample of the dataset before purchasing or downloading it?
Yes. You can request a sample of the dataset to verify video quality, mask diversity, and metadata completeness. Sampling ensures that the dataset meets your requirements for training anti-spoofing models or conducting face mask detection research.
What are the sources of data for Unidata datasets?
Unidata datasets are collected from verified partners and legally compliant sources. The Fabric Masks Dataset was collected via crowdsourcing platforms, capturing videos of people using different fabric masks, wigs, and glasses.
How was the dataset collected?
Data was collected via crowdsourcing platforms, recording individuals in controlled indoor and outdoor environments using devices like Samsung, iPhone, Xiaomi, and Huawei smartphones. The dataset covers five different backgrounds and various lighting conditions to simulate realistic presentation attacks.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets, including this fabric masks and disguise dataset, comply with GDPR and applicable data protection laws. Data is collected from legally permissible sources, ensuring ethical and lawful usage.
How are Unidata datasets stored?
Unidata stores all datasets on AWS cloud infrastructure, ensuring high availability, scalability, and secure data management. Storage practices follow ISO 27001 and ISO 27701 standards, providing a privacy-focused environment for sensitive biometric data.
How long does it take to receive the dataset?
Once your request is submitted, Unidata reviews the details and completes the necessary documentation. After signing and payment, the dataset is delivered within 3–10 business days.
Still have questions about using Unidata datasets?
Read our user-guides
Unidata Cases
Digital Tree Passport Annotation for Forest Mapping
- Forestry Monitoring & GIS
- 200,000 trees, 10 species classes
- 2 months
License Plate Annotation for Vehicle Recognition System
- 100,000 images with detailed license plate markup (bounding boxes, digits, regional symbols)
- 3 weeks
Sentiment Annotation for Brand Monitoring
- Marketing & Consumer Insights
- 12,000 text samples
- 7 weeks
Surveillance Video Annotation for Entrance Monitoring
- Surveillance & Security
- 90 minutes of video from three cameras, approximately 50-60 thousand frames
- 2 week
Similar Datasets
-
Commercial
- Identity Verification
- Computer Vision
- Machine Learning
- Biometric Recognition
- Security
Human Iris Images Biometric Dataset
High-quality iris dataset with 5,000+ JPG images from 5,000+ individuals, containing left and right eye captures for iris recognition and computer vision tasks. This eye iris dataset includes labeled images collected under visible light, with metadata (ID, eye, sex) to support training data for biometric recognition systems, iris segmentation, and iris pattern analysis.
5,000+ Images
5,000+ People -
Commercial
- Computer Vision
- Machine Learning
- Image Processing
- Security
- Anti-Spoofing
Multi-Material Fingerprint Spoofing Dataset
This fingerprint spoofing dataset contains fingerprint images, captured with a ZKTeco ZK9500 optical scanner and including real fingerprints and spoofing attacks created with alginate, plasticine, and silicone materials. The fingerprint dataset includes metadata (gender, age, finger, hand, device) and supports biometric security research, presentation attack detection, spoof detection, and fingerprint recognition model training.
100 People
4000+ Photos -
Commercial
- Computer Vision
- Machine Learning
- Image Processing
- Security
- Anti-Spoofing
Biometric Fingerprint Spoofing Dataset
Contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple fingerprint spoofing 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.
100 People
5000+ Photos -
Commercial
- Facial Recognition
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
Anti-Spoofing Replay PC Videos Dataset
High-quality replay attack dataset containing 4,714 PC-recorded video clips of real faces, designed for training and evaluating face recognition and liveness detection systems. This anti-spoofing videos dataset includes diverse attack scenarios, technical metadata (age, gender, ethnicity), and MP4/MOV formats to support spoofing detection, biometric security, and computer vision model development.
4,714 Videos
4,714 People -
Commercial
- Facial Recognition
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
Anti-Spoofing Replay Phone Videos Dataset
This anti-spoofing dataset contains over 40,036 live facial video recordings captured on mobile devices to support replay attack detection and biometric anti-spoofing research. With paired video sets, MP4/MOV formats, and rich metadata such as age, gender, and ethnicity, it provides reliable training data for face antispoofing, liveness detection, and secure biometric authentication systems.
40,036 Videos
20,018 Sets -
Commercial
- Speech Analysis
- ASR
- Machine learning
- Data generation
- Audio Processing
Real vs Fake Human Voice – Deepfake Audio Dataset
Audio dataset containing 5,000 audio files featuring both genuine human recordings and AI-generated voice samples. Each set includes four speakers with multiple clips across M4A and MP3 formats. The dataset supports research in deepfake detection, generated speech analysis, and real vs fake human voice recognition tasks.
5,000 Audio
-
Commercial
- Facial Recognition
- Security
- Anti-spoofing
- Computer Vision
- Machine Learning
Kids Anti-Spoofing Dataset
The dataset provides 6,000 high-quality facial images of children aged 7–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.
6 000 Images
300 people -
Commercial
- Image Processing
- Machine Learning
- Hand Recognition
- Forensics
- Computer Vision
Open Palm Hand Images Dataset
This high-quality open palm dataset includes 179,052 annotated images collected from 29,842 people, with each set containing six palm photos, two printed-hand images, and two replay videos. Designed for hand recognition and computer vision research, it provides detailed metadata - age, gender, ethnicity, profession, device type, dominant hand, and jewelry status.
179,052 Images
29,842 People -
Commercial
- PII
- Data generation
- Security
- Anti-spoofing
- Computer Vision
Synthetic Printed Turkish Passports Dataset
It is a synthetic Turkish passports dataset containing 5,000 high-quality, AI-generated images. Labeled with detailed metadata - including passport ID, class, gender, and lighting - this dataset supports PII extraction, identity verification, and biometric recognition system training while maintaining strict data protection standards.
5000 Images
-
Commercial
- Facial Recognition
- iBeta
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
iBeta Kids Dataset
It is a child safety dataset featuring over 46,000 short video samples of children across different age groups, recorded under varied lighting, devices, and conditions. It includes four main attack types: Real Person, 2D Mask, 3D Mask, and Replay, helping develop biometric systems that detect spoofing and ensure safe, accurate child identification.
45 600 Videos
60 People
Why Companies Trust Unidata's Datasets
Share your project requirements, we handle the rest. Every service is tailored, executed, and compliance-ready, so you can focus on strategy and growth, not operations.
Our Clients Love Us
Ready to get started?
Tell us what you need — we’ll reply within 24h with a free estimate
- Andrew
- Head of Client Success
— I'll guide you through every step, from your first
message to full project delivery
Thank you for your
message
We use cookies to enhance your experience, personalize content, ads, and analyze traffic. By clicking 'Accept All', you agree to our Cookie Policy.