“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
Phone and Webcam Video Dataset
This is a high-quality video dataset containing 30,952 MP4 recordings from 3,869 individuals. Each participant provides a standardized set of 4 photos and 4 videos while pronouncing number sequences, enabling robust model training across real-world conditions and capture variations.
The dataset includes metadata (ID, gender, ethnicity, device information) and supports diverse capture hardware, making it suitable for cross-device face detection and recognition research.
-
- files
- 30,952
-
- people
- 3869
- Security
- Anti-spoofing
- Facial Recognition
- Re-identification
- Machine learning
- Computer Vision
- Security
- Anti-spoofing
- Facial Recognition
- Re-identification
- Machine learning
- Computer Vision
This is a high-quality video dataset containing 30,952 MP4 recordings from 3,869 individuals. Each participant provides a standardized set of 4 photos and 4 videos while pronouncing number sequences, enabling robust model training across real-world conditions and capture variations.
The dataset includes metadata (ID, gender, ethnicity, device information) and supports diverse capture hardware, making it suitable for cross-device face detection and recognition research.
- Security
- Anti-spoofing
- Facial Recognition
- Re-identification
- Machine learning
- Computer Vision
-
- files
- 30,952
-
- people
- 3869
Dataset Info
| Characteristic | Data |
| Description | Each person took 4 selfies and 4 videos in which he/she pronounces a set of numbers |
| Data types | Video, photo |
| Tasks | Facial Recognition, Computer Vision |
| Number of video | 30,952 |
| Number of people | 3869 |
| Number of files in a set | 4 photos (2 on a webcam, 2 on a phone ) and 4 videos (2 on a webcam, 2 on a phone ) |
| Labeling | Metadata (ID, ethnicity, gender, phone types, webcam types) |
| Gender | Male, Female |
| Ethnicity | African and Indonesian |
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Technical
Characteristics
| Characteristic | Data |
| Video extension | mp4 |
| Duration of videos | the first video: ~30 seconds, second video: ~8 seconds |
| Phone types | Vivo, Realme, Oppo, Techo, Xiaomi, Infinix and etc. |
| Webcam types | Logitech, Havit, Xiaomi, VerkTop, Aukey and etc. |
Statistics
| i | Country | COUNTA of country |
| 1 | RU | 3216 |
| 2 | BY | 240 |
| 3 | KZ | 189 |
| 4 | UA | 149 |
| 5 | MD | 27 |
| 6 | UZ | 15 |
| 7 | GE | 8 |
| 8 | TR | 7 |
| 9 | PL | 4 |
| 10 | AZ | 4 |
| 11 | AM | 3 |
| 12 | KG | 3 |
| 13 | FR | 1 |
| 14 | GB | 1 |
| 15 | IN | 1 |
| 16 | TH | 1 |
| 17 | Grand Total | 3869 |
| i | Age | Count |
| 1 | Under 18 | 98 |
| 2 | 19 - 25 | 1527 |
| 3 | 26-32 | 983 |
| 4 | 33 - 39 | 723 |
| 5 | 40 - 46 | 278 |
| 6 | 47 - 53 | 159 |
| 7 | 54 - 59 | 50 |
| 8 | 60 - 66 | 32 |
| 9 | 67+ | 19 |
- Gender distribution
- Resolution distribution
- Continent distribution
- Ethnicity distribution
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
FAQs
What is Phone and Webcam Video Dataset used for?
The dataset is designed for training and testing computer vision and facial recognition models. It supports use cases such as face detection, liveness detection, video-based biometric authentication, and AI learning models that require real-world mobile devices and webcam recordings.
What is included in this dataset?
This dataset contains 30,952 high-quality videos recorded by more than 3869 participants. Each person provided 8 videos - 4 captured on smartphone cameras and 4 on webcam streams - along with metadata such as ID, ethnicity, gender, phone types, and webcam types.
What types of annotations are provided?
The dataset includes metadata annotations covering participant ID, gender, ethnicity, phone, and webcam types. These annotations help prepare training data for event detection, object detection, face recognition, and other video–stream–based tasks.
Is the data unique?
Yes, the phone video dataset is unique, featuring original video streams that are not publicly available elsewhere. With coverage from African and Indonesian participants, it provides valuable diversity for face detection, biometric testing, and liveness detection research.
How long does it take to receive the dataset?
Once you submit a request, we will reach out to review the details and complete the necessary documents. After signing and payment, the webcam video dataset is delivered within 3–10 days, allowing you to begin biometrics testing, face recognition, liveness detection, or attack detection promptly.
How are Unidata datasets licensed?
Unidata datasets are offered under a dual licensing model: free samples are available for evaluation, while the full dataset requires purchase.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Our datasets are fully aligned with GDPR standards and other data protection requirements. All information is collected from lawful sources to support ethical practices.
How are Unidata datasets stored?
At Unidata, datasets are managed on AWS cloud systems, offering high availability and scalable storage. Our security and privacy measures meet ISO 27001 and ISO 27701 standards, confirming alignment with global compliance benchmarks. This approach ensures safe and dependable data management at every stage.
Still have questions about using Unidata datasets?
Read our user-guides
Dataset Use Cases
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Surveillance Video Annotation for Entrance Monitoring
- Surveillance & Security
- 90 minutes of video from three cameras, approximately 50-60 thousand frames
- 2 week
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