---
title: "Scene Scanning Video Dataset"
description: "Scene Scanning Video Dataset includes 10,000 high-resolution (1920×1080, 30 FPS) MP4 videos capturing people looking around and scanning their environment in controlled settings. This video…"
url: "https://unidata.pro/datasets/scene-scanning-video/"
date_modified: "2026-03-03T14:51:37+03:00"
language: "en-US"
---
Scene Scanning Video Dataset includes 10,000 high-resolution (1920×1080, 30 FPS) MP4 videos capturing people looking around and scanning their environment in controlled settings. This video dataset contains annotated metadata labels—such as environment type, camera motion, participant count, gender, duration, and resolution—providing structured training data for computer vision, face detection, face recognition, and object detection.

## Dataset Structure

### The Numbers Section

**Numbers list:** - **Number:** 10,000 — **Text:** Videos

### Tooltip Section

**Tooltip items:**

- **Name:** Machine learning
- **Name:** Human Behavior
- **Name:** Pose Estimation
- **Name:** Action Recognition
- **Name:** Computer Vision

### Dataset Info

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Videos of people looking around and scanning their environment |
| Data types | Video |
| Tasks | Face recognition, Face detection |
| Number of videos | 10,000 |
| Labeling | Metadata (duration, fps, resolution, has_audio, environment_type, gender, camera_motion, participants_count) |

**Media Slider:** - **Video on Slider:** <https://unidata.pro/wp-content/uploads/2026/02/scene-scanning-dataset.mp4>

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1sNZaJuIuNKLfGWria4lgfsdMG2Xuc4Ta)

### Technical  characteristics

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Video Extension | MP4 |
| Video Resolution | 1920x1080 |
| Duration | Mean = 18 |
| FPS | 30 |

**Source and collection methodology:** Source and collection methodology: Data was captured via digital cameras in controlled, simulated environments.

### Dataset Use Cases - слайдер

**Industry Cards:**

- **Industry:** Security & Surveillance Systems — **Title:** Advanced Environment Scanning for Threat Detection — **Text:** This scene scanning video dataset supports environment exploration in security operations across corporate facilities, public venues, and critical infrastructure sites. Security teams use this training data for model training, object detection, and identifying patterns that improve real-time monitoring, anomaly detection, and computer vision–based surveillance systems.
- **Industry:** Smart Cities & Infrastructure Management — **Title:** Urban Scene Exploration and Public Safety Monitoring — **Text:** City planners and technology providers can use this video dataset for environment scanning across transportation hubs, public spaces, and business environments. By analyzing large datasets and identifying patterns, computer vision systems can detect anomalies, optimize public services, and support evidence-based urban planning.
- **Industry:** Retail & Commercial Analytics — **Title:** Analyzing Customer Movement and Space Usage — **Text:** Retail and commercial businesses apply this environment exploration dataset to study movement patterns, object interactions, and space utilization. The video data supports object detection, behavioral analysis, and layout evaluation. Learning models trained on these environmental scans help identify high-traffic areas and optimize store design using measurable visual information.
- **Industry:** Academic Research & AI Development — **Title:** Computer Vision Training and Benchmarking — **Text:** Researchers can use this video dataset for scene exploration, environmental analysis, and model benchmarking. The dataset contains information about object recognition, environmental context, and resolution variability across different recording conditions. Scholars and developers analyze large volumes of data to compare algorithms, validate detection performance, and advance research in scene understanding and environmental modeling.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What is included in this dataset? — **Answer:** The dataset contains 10,000 MP4 videos showing people scanning their environment in controlled settings. Files contain high-resolution footage (1920×1080, 30 FPS, mean duration 18 seconds) along with structured metadata.
- **Question:** What types of annotations are provided? — **Answer:** Annotations are delivered as metadata labels. The metadata includes duration, FPS, resolution, audio presence, environment type, gender, camera motion, and participants count, providing relevant data for analyzing patterns and comparing results across datasets.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model: free samples are provided for trial and testing, while full datasets are available exclusively through purchase. This structure allows organizations to assess the data before full commercial use.
- **Question:** Do Unidata datasets comply with GDPR and data privacy regulations? — **Answer:** Yes. All datasets are curated in compliance with GDPR and applicable data protection laws. Data is collected from legally permissible sources to ensure ethical, lawful usage and responsible handling of personal information.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata stores all datasets securely on AWS cloud infrastructure, ensuring high availability and scalability. Storage and management practices align with ISO 27001 and ISO 27701 standards, providing a secure and privacy-focused environment for managing large datasets and sensitive information.
- **Question:** How long does it take to receive the dataset? — **Answer:** After submitting a request, the team reviews project details and completes the necessary documentation. Once the agreement is signed and payment is processed, the dataset is delivered within 3–10 days.
- **Question:** Is this a real-world or synthetic dataset? — **Answer:** This is a real-world dataset recorded with digital cameras in controlled, simulated environments. It contains authentic human activity and environmental context rather than synthetic or computer-generated footage, ensuring realistic training data for computer vision and recognition algorithms.
- **Question:** Can I request a sample before purchasing the dataset? — **Answer:** Yes. Free samples are available for trial and testing purposes, allowing you to evaluate video quality, metadata structure, and annotation format.

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