“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
Age Difference Images Dataset
This is a diverse age difference dataset featuring annotated images of the same individuals captured at different life stages, designed to support age detection, age estimation, and facial recognition tasks by analyzing age differences, age groups, and gender differences across a rich and well-structured image dataset.
-
- Images
- 10,557
-
- People
- 2,627
- Facial Recognition
- Computer Vision
- Machine learning
- Anti-spoofing
- Facial Recognition
- Computer Vision
- Machine learning
- Anti-spoofing
This is a diverse age difference dataset featuring annotated images of the same individuals captured at different life stages, designed to support age detection, age estimation, and facial recognition tasks by analyzing age differences, age groups, and gender differences across a rich and well-structured image dataset.
- Facial Recognition
- Computer Vision
- Machine learning
- Anti-spoofing
-
- Images
- 10,557
-
- People
- 2,627
Dataset Info
| Characteristic | Data |
| Description | Photos of same people at different age |
| Data types | Image |
| Tasks | Facial recognition, Computer Vision |
| Number of images | 10 557 |
| Number of files in a set | 4 image |
| Number of people | 2,627 |
| Gender | Male, Female |
| Age | Young people, middle-aged |
Fintech hit by 100K biometric spoofing attacks monthly
Discover how top fintechs prevent fraud — download our free white paper
Technical
Characteristics
| Characteristic | Data |
| Image extension | JPG |
Dataset Use Cases
FAQs
Can I request a sample of the dataset before purchasing or downloading it?
Yes. You can request a free sample of Age Difference Images Dataset to assess image resolution, age diversity, and metadata accuracy. These sample images help confirm the dataset’s suitability for age detection or facial recognition research before making a purchase.
Is it possible to request a custom dataset?
Yes. Unidata offers custom dataset creation and annotation services, allowing clients to specify particular age ranges, gender balances, or ethnic diversity. Custom datasets can also include additional metadata or high-resolution image variants to match specific AI training or computer vision project needs.
What is this dataset used for?
Age Difference Images Dataset is designed for machine learning, biometric verification, and computer vision research, focusing on age progression and recognition accuracy across time. It is frequently used in facial analysis systems, aging simulations, and AI models for age estimation.
How was the data collected?
The dataset was collected by a verified Unidata partner through ethically approved channels. All images were gathered using standardized photography practices, ensuring consistency in lighting, resolution, and facial positioning for reliable machine learning model training.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Age Difference Images Dataset fully complies with GDPR and other international data protection laws. All personal information is anonymized, and data collection is conducted ethically and legally to maintain privacy and responsible dataset usage.
How are Unidata datasets stored?
Unidata stores all datasets on secure AWS cloud servers with compliance to ISO 27001 and ISO 27701 standards. This ensures data integrity, scalability, and privacy, providing a safe and reliable environment for managing sensitive image datasets.
How long does it take to receive the dataset?
After you submit your dataset request, the Unidata team will review your order, finalize documentation, and complete payment processing. The dataset is then delivered securely within 3–10 business days.
Is this a real-world dataset or synthetic data?
This is a real-world dataset containing authentic images of real individuals taken at different stages of life.
How can this age difference dataset improve facial aging models?
The dataset enables AI models to learn facial appearance changes across different ages by comparing images captured over time. It supports age estimation, age progression, face recognition, and biometric verification research.
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
- Facial Recognition
- Age Estimation
- Re-identification
- Security
- Computer Vision
Kids & Teens Aging Dataset (Ages 7-21)
The dataset was created for age estimation, age progression analysis, and facial aging studies in children and teenagers aged 7–21. This face image dataset includes photos annotated with the Monk Skin Tone (MST) scale, camera angle, whether the shot is a digital or physical (scanned) photo, accessories worn, blur, and background handling, alongside demographic metadata (gender, ethnicity, skin tone category).
8,039 Photos
536 People -
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
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
We partnered with Unidata for a vast collection of webcam and smartphone assets and were very satisfied. The data quality was excellent, maintaining high resolution and clarity across all formats to meet our specific technical needs. The procurement process was seamless thanks to their customer service. The team was proactive and transparent, ensuring smooth communication from start to finish. Although the investment was significant, the professional caliber of the data and the reliability of the service made it a worthwhile value.
Trusted by the market's leading brands
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.