--- title: "Phone and Webcam Video Dataset" description: "1,300+ videos 300+ people" url: "https://unidata.pro/datasets/phone-and-webcam-video/" date_modified: "2026-06-08T13:15:56+03:00" language: "en-US" --- 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. ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 30,952 — **Text:** files - **Number:** 3869 — **Text:** people ### Tooltips Section **Tooltip items:** - **Name:** Security - **Name:** Anti-spoofing - **Name:** Facial Recognition - **Name:** Re-identification - **Name:** Machine learning - **Name:** Computer Vision ### Dataset Information **Table with data:** | 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 | **Media Slider:** - **Image in the slider:** ![Phone and Webcam Video dataset](https://unidata.pro/wp-content/uploads/2024/12/phone-webcam-video-scaled.webp) - **Image in the slider:** ![Phone and Webcam Video dataset](https://unidata.pro/wp-content/uploads/2024/12/phone-webcam-video2-scaled.webp) - **Video on Slayder:** - **Video on Slayder:** - **Image in the slider:** ![Phone and Webcam Video dataset](https://unidata.pro/wp-content/uploads/2024/12/phone-webcam-video-5.webp) - **Image in the slider:** ![Phone and Webcam Video dataset](https://unidata.pro/wp-content/uploads/2024/12/phone-webcam-video-6.webp) - **Video on Slayder:** - **Video on Slayder:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/18UcxLq6ljRbqkGOZB3SC4qi89ci84LbA) ### Technical Specifications **Table with data:** | 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. | **Source and data collection methodology:** Source and collection methodology. Data was collected by UniData team by using the crowdsourcing service ### LLM Languages **Section Title:** Statistics **List of Statistics:** - **Filter by:** Country distribution — **GIF image:** Country Distribution — **Table with data:** | Country | COUNTA of country | | --- | --- | | RU | 3216 | | BY | 240 | | KZ | 189 | | UA | 149 | | MD | 27 | | UZ | 15 | | GE | 8 | | TR | 7 | | PL | 4 | | AZ | 4 | | AM | 3 | | KG | 3 | | FR | 1 | | GB | 1 | | IN | 1 | | TH | 1 | | Grand Total | 3869 | - **Filter by:** Age distribution — **GIF image:** Age Distribution — **Table with data:** | Age | Count | | --- | --- | | Under 18 | 98 | | 19 - 25 | 1527 | | 26-32 | 983 | | 33 - 39 | 723 | | 40 - 46 | 278 | | 47 - 53 | 159 | | 54 - 59 | 50 | | 60 - 66 | 32 | | 67+ | 19 | ### Statistics - Charts **Charts with Titles:** - **Shortcode:** [ays_chart id='45'] — **caption above the graph:** Gender distribution - **Shortcode:** [ays_chart id='46'] — **caption above the graph:** Resolution distribution - **Shortcode:** [ays_chart id='47'] — **caption above the graph:** Continent distribution - **Shortcode:** [ays_chart id="48"] — **caption above the graph:** Ethnicity distribution ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** What is Phone and Webcam Video Dataset used for? — **Answer:** 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. - **Question:** What is included in this dataset? — **Answer:** 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. - **Question:** What types of annotations are provided? — **Answer:** 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. - **Question:** Is the data unique? — **Answer:** 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. - **Question:** How long does it take to receive the dataset? — **Answer:** 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. - **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets are offered under a dual licensing model: free samples are available for evaluation, while the full dataset requires purchase. - **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** 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. - **Question:** How are Unidata datasets stored? — **Answer:** 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. ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Security & Surveillance — **Title:** Improving Face Detection Models — **Text:** Improving Face Detection Models Phone and Webcam Video Dataset is valuable for developing reliable face detection and recognition systems. Video streams from smartphone cameras and webcam recordings provide training data for learning models that identify people in varied lighting, angles, and backgrounds. This supports biometric authentication, event detection, and fraud prevention. - **Industry:** Healthcare & Telemedicine — **Title:** Enhancing Remote Patient Monitoring — **Text:** In telehealth, analyzing selfie video datasets collected from mobile devices helps detect facial cues, eye movement, and emotional changes during virtual consultations. These high-quality videos allow medical AI to improve patient engagement and monitor conditions remotely through video calls captured by Android phones and webcams. - **Industry:** Social Media & Communication Apps — **Title:** Optimizing Video Call Quality — **Text:** The dataset supports developers of messaging platforms and video conferencing apps. With diverse phone video datasets and webcam streams, it trains models to handle bandwidth fluctuations, detect objects in real time, and optimize video quality across mobile devices. This enables smoother video calls and improved user experience. - **Industry:** AI Research & Computer Vision — **Title:** Training Data for Object Detection — **Text:** Researchers can use this video dataset for building machine learning models in computer vision. The dataset consists of varied recordings from Android devices and webcams, providing raw material for object detection, motion analysis, and scene understanding. Such diverse data collection enhances algorithm performance in real-world applications. [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)