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South Asia Residential Mono Egocentric Video Dataset
Multimodal Annotation & Task Labels
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£336,700
About
The Asia Residential & Commercial Annotated Video Dataset is a large-scale collection of annotated videos captured across residential and commercial environments in Asia using a GoPro or equivalent camera. The dataset consists of high-quality 4K and 1080p videos recorded at 30/60 FPS and encoded using H.264/H.265. It is designed for robotics, computer vision, embodied AI, scene understanding, object detection, activity recognition, and machine learning research. The dataset provides annotation data to support supervised learning, benchmarking, and AI model evaluation. While the online preview stream may appear lower quality, the downloadable files retain their original high-resolution quality.
Data Product Features
| Feature | Description |
|---|---|
| Environment | Residential & Commercial |
| Data Type | Annotated Video Data |
| Region | Asia |
| Camera | GoPro or equivalent |
| Resolution | 4K / 1080p |
| Frame Rate | 30 FPS / 60 FPS |
| Video Codec | H.264 / H.265 |
| Audio | No |
| Motion Level | High |
| Annotation Support | Yes |
Distribution
Format
- MP4 video files
- Annotation files (JSON, CSV, TXT, or equivalent)
Encoding
- H.264 / H.265
Structure
- Organized into folders containing video files and their corresponding annotation files.
Data Volume
- Approximate Duration: 800 hours
- Approximate Storage Size: 5.6 TB (≈5,600 GB)
- Approximate Records: 10,000 annotated recordings
Usage
This dataset is ideal for a variety of applications:
- Object Detection: Train models to identify and localize objects.
- Object Tracking: Multi-frame tracking of people and objects.
- Semantic Segmentation: Pixel-level scene understanding.
- Action Recognition: Human activity recognition and behavior analysis.
- Robot Perception: Training robots to understand real-world environments.
- Embodied AI: Learning from annotated first-person and environmental interactions.
- Computer Vision: Model development and benchmarking.
- Academic Research: Robotics, AI, and computer vision research.
Coverage
Geographic Coverage
Asia
Time Range
- Start Date: Not specified
- End Date: Not specified
Demographics
- Adults (where applicable)
- Mixed gender participants
- Residential environments
- Commercial environments
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 using annotated video data.
- Researchers: Conduct academic research in robotics, computer vision, and machine learning.
- Businesses: Develop AI-powered vision systems, automation, and analytics solutions.
- Robotics Engineers: Improve robot perception, navigation, and scene understanding.
- Universities: Benchmark algorithms and support educational research.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| Recording_ID | String | Unique identifier for each recording | Unique value |
| Video_File | Video | Annotated video recording | MP4 |
| Annotation_File | File | Annotation metadata | JSON, CSV, TXT |
| Environment | String | Recording environment | Residential, Commercial |
| Region | String | Geographic region | Asia |
| 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 | High |
| Annotation_Type | String | Annotation format | Bounding boxes, segmentation masks, class labels, tracking annotations (where applicable) |
| Timestamp | DateTime | Recording timestamp | If available |
| Duration | Float | Recording duration | Seconds or minutes |
Additional Notes
- Captured across residential and commercial environments in Asia.
- Recorded using a GoPro or equivalent camera.
- Videos are available in 4K and 1080p at 30/60 FPS using H.264/H.265 encoding.
- Annotation files are included to support supervised machine learning and computer vision tasks.
- Suitable for robotics, object detection, tracking, scene understanding, embodied AI, and AI model development.
- The preview stream may appear lower quality, but the downloaded files are available in their original high resolution.
- Released under the CC0 license for both research and commercial AI applications.
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£336,700
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