Commercial
Phone and Webcam Video Dataset
Photos and videos of people taken on a phone and on a webcam under different lighting conditions
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-
- videos
- 1,300+
-
- people
- 300+
- Security
- Anti-spoofing
- Facial Recognition
- Re-identification
- Machine learning
- Computer Vision
-
- videos
- 1,300+
-
- people
- 300+
Dataset Info
Characteristic | Data |
Description | Each person took 4 videos in which he/she pronounces a set of numbers |
Data types | Video |
Tasks | Facial Recognition, Computer Vision |
Number of video | 1 300+ |
Number of people | 300+ |
Number of files in a set | 4 videos ( 2 on a phone, 2 on a webcam) |
Labeling | Metadata (ID, ethnicity, gender, phone types, webcam types) |
Gender | Male, Female |
Ethnicity | African and Indonesian |
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Statistics
-
- Webcam types
-
- Ethnicity distribution
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- Gender distribution
-
- Phone types
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. |
Phone types | Vivo, Realme, Oppo, Techo, Xiaomi, Infinix and etc. |
Webcam types | Logitech, Havit, Xiaomi, VerkTop, Aukey and etc. |
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 over 1,300 high-quality videos recorded by more than 300 participants. Each person provided four videos - two captured on smartphone cameras and two 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.
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