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South Asia Residential Mono Egocentric Video Dataset
Egocentric & First-Person Data
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£19,325
About
Large-scale collection of first-person (monocular) videos captured in residential environments across South Asia using iPhone 13 or newer devices. The videos are recorded in 4K and 1080p at 30/60 FPS and encoded with H.264/H.265 codecs. The dataset is designed for robotics, embodied AI, computer vision, visual perception, navigation, and machine learning research, providing realistic first-person indoor scenes for training and evaluating AI models.
Data Product Features
| Feature | Description |
|---|---|
| Environment | Residential |
| Data Type | Mono Egocentric Video |
| Camera | iPhone 13 or newer |
| Region | South Asia |
| Resolution | 4K / 1080p |
| Frame Rate | 30 FPS / 60 FPS |
| Video Codec | H.264 / H.265 |
| Audio | No |
| Motion Level | Low |
| 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: 800 hours
- Approximate Storage Size: 56 TB (≈56,000 GB)
- Approximate Video Records: 10,000
Usage
This dataset is suitable for a wide range of AI and robotics applications:
- Embodied AI: Training first-person embodied intelligence models.
- Robot Perception: Learning visual perception from an egocentric viewpoint.
- Computer Vision: Object detection, scene understanding, and semantic segmentation.
- Visual Navigation: Indoor localization and navigation.
- Action Recognition: Human activity and behavior analysis.
- Machine Learning: Training and evaluating deep learning and foundation models.
- Academic Research: Robotics, autonomous systems, and computer vision studies.
Coverage
Geographic Coverage
South Asia
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 as a standalone dataset outside of licensed usage.
- Users must comply with all applicable privacy, data protection, and intellectual property laws.
Who Can Use It
- Data Scientists: Train and evaluate computer vision and robotics models.
- Researchers: Conduct academic research in embodied AI, robotics, and computer vision.
- Robotics Engineers: Develop perception, navigation, and manipulation systems.
- AI Companies: Build and improve AI products using real-world egocentric video data.
- Universities: Benchmark algorithms and support educational research.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| Video_ID | String | Unique identifier for each recording | Unique value |
| Video_File | Video | Egocentric video file | MP4 |
| Environment | String | Recording environment | Residential |
| Region | String | Geographic location | South Asia |
| Camera_Device | String | Recording device | iPhone 13 or newer |
| Resolution | String | Video resolution | 4K, 1080p |
| Frame_Rate | Integer | Recording frame rate | 30, 60 FPS |
| Video_Codec | String | Video compression codec | H.264, H.265 |
| Audio | Boolean | Audio included | No |
| Motion_Level | String | Motion intensity | Low |
| Viewpoint | String | Camera perspective | First-person (Monocular) |
| Duration | Float | Length of recording | Seconds or minutes |
| File_Size | Float | Video file size | MB or GB |
| Timestamp | DateTime | Recording timestamp | If available |
Additional Notes
- Recorded using iPhone 13 or newer devices.
- Captured in authentic residential environments throughout South Asia.
- Optimized for robotics, embodied AI, visual navigation, scene understanding, and AI model development.
- Videos are encoded using H.264/H.265 to ensure efficient storage and broad compatibility.
- Suitable for both research and commercial AI applications under the CC0 license.
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£19,325
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