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Residential Mono Egocentric Video Dataset – Latin America
Sensor & IoT Readings
Tags and Keywords
£622,330
About
The Latin America Residential Mono Egocentric Video Dataset is a large-scale collection of first-person (monocular) videos captured in residential environments across Latin America using a GoPro or equivalent camera. The videos are recorded in 4K and 1080p at 30/60 FPS using H.264/H.265 encoding. The dataset is designed for robotics, computer vision, embodied AI, visual navigation, action recognition, and machine learning research. It provides realistic first-person recordings from residential environments, enabling the development and evaluation of AI models for real-world applications. While the streaming preview may appear lower quality, the downloaded files retain their original high-resolution quality.
Data Product Features
| Feature | Description |
|---|---|
| Environment | Residential |
| Data Type | Mono Egocentric Video |
| Region | Latin America |
| Camera | GoPro or equivalent |
| Resolution | 4K / 1080p |
| Frame Rate | 30 FPS / 60 FPS |
| Video Codec | H.264 / H.265 |
| Audio | No |
| Motion Level | Medium |
| Viewpoint | First-Person (Monocular) |
Distribution
Format
- MP4 video files
Encoding
- H.264 / H.265
Structure
- Folder-based organization containing individual video recordings.
Data Volume
- Approximate Duration: 100 hours
- Approximate Storage Size: 700 GB
- Approximate Records: 8,000 video recordings
Usage
This dataset is ideal for a variety of applications:
- Embodied AI: Training first-person intelligent agents.
- Computer Vision: Object detection, scene understanding, and semantic segmentation.
- Robot Perception: Visual perception for autonomous robots.
- Visual Navigation: Indoor localization and navigation.
- Action Recognition: Human activity and behavior analysis.
- Machine Learning: Training and benchmarking vision models.
- Academic Research: Robotics, embodied AI, and computer vision research.
Coverage
Geographic Coverage
Latin America
Time Range
- Start Date: Not specified
- End Date: Not specified
Demographics
- Adults (where applicable)
- Mixed gender participants
- Residential indoor environments
- Everyday household activities
License
CC0 (Creative Commons Zero)
AI Training Rights
Licensee is granted a non-exclusive, worldwide, and perpetual right to:
- Use the Data Product to train, fine-tune, and evaluate machine learning models, including large language models.
- Incorporate Data Product content into models and commercialize resulting model outputs.
- Create derivative works (model weights, embeddings, feature representations, etc.) for any lawful purpose.
Restrictions
- The Data Product itself may not be sold, redistributed, or shared outside of licensed usage.
- Licensee must comply with all applicable laws, including data protection and privacy regulations.
Who Can Use It
- Data Scientists: Train computer vision and AI models.
- Researchers: Conduct research in robotics, embodied AI, and computer vision.
- Businesses: Develop AI-powered vision systems and automation solutions.
- Robotics Engineers: Build perception and navigation systems for autonomous robots.
- Universities: Support AI education, benchmarking, and scientific research.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| Recording_ID | String | Unique identifier for each recording | Unique value |
| Video_File | Video | Monocular egocentric video recording | MP4 |
| Environment | String | Recording environment | Residential |
| Region | String | Geographic region | Latin America |
| Camera_Device | String | Recording device | GoPro or equivalent |
| Resolution | String | Video resolution | 4K, 1080p |
| Frame_Rate | Integer | Recording frame rate | 30 or 60 FPS |
| Video_Codec | String | Video compression codec | H.264, H.265 |
| Audio | Boolean | Audio availability | No |
| Motion_Level | String | Motion intensity | Medium |
| Viewpoint | String | Camera perspective | First-Person (Monocular) |
| Duration | Float | Recording duration | Seconds or minutes |
| File_Size | Float | Video file size | MB or GB |
| Timestamp | DateTime | Recording timestamp | If available |
Additional Notes
- Captured in residential environments across Latin America.
- Recorded using a GoPro or equivalent camera.
- Videos are available in 4K and 1080p at 30/60 FPS using H.264/H.265 encoding.
- Designed for robotics, embodied AI, computer vision, visual navigation, and machine learning applications.
- The streaming preview may appear lower quality, but the downloaded files are provided in their original high resolution.
- Released under the CC0 license for research and commercial AI applications.
Listing Stats
VIEWS
1
DELIVERY
CUSTOM, S3
LISTED
25/07/2026
UPDATED
02/08/2026
REGION
LATIN AMERICA
TRUST
5 / 5
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£622,330
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