Egocentric Entire Household — Indonesia (5000 Hours)
Egocentric & First-Person Data
Tags and Keywords

£15,000
About
This SAMPLE listing showcases egocentric (first-person) video data captured across an entire household in Indonesia, covering everyday domestic activities spanning multiple rooms. The dataset features naturalistic daily routines in the kitchen, living room, and bedroom, captured with a wearable action camera. A sample link to view a portion of the full dataset is provided in the attached Sample Data File.
Data Product Features
- First-person (chest-mounted action camera) video capturing entire household activities
- Multi-room coverage: kitchen tasks, living room tasks, and bedroom tasks
- Everyday domestic routines and object interactions
- Metadata: activity labels, room tags, session identifiers
Distribution
- Format: Video files (MP4)
- Data Volume: 5000 hours of footage across multiple recording sessions
- Delivery: Custom delivery (cloud storage transfer upon purchase)
Usage
This data product is ideal for a variety of applications:
- Robotics Perception: Training egocentric vision models for household activity monitoring
- Human Activity Recognition: Modeling multi-room domestic behavior patterns
- AR/VR Applications: Building immersive home-assistance training experiences
- AI Training: Fine-tuning large multimodal models on real-world first-person household data
Coverage
- Geographic Coverage: Indonesia (residential households)
- Time Range: Recent multi-session capture (2025-2026)
- Demographics: Adults and families performing daily household tasks across kitchen, living room, and bedroom
License
Proprietary
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, 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: For training machine learning models on egocentric household data.
- Researchers: For academic or scientific studies in human activity recognition.
- Businesses: For smart-home product analytics, AI development, and process optimization.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| session_id | String | Unique identifier for a recording session | e.g. ID_HOUSEHOLD_0001 |
| timestamp | Datetime | Frame/segment timestamp | ISO 8601 format |
| activity_label | String | Annotated activity being performed | Cooking, Watching TV, Sleeping, Cleaning |
| room_label | String | Room in which activity occurs | Kitchen, Living Room, Bedroom |
| camera_type | String | Type of camera used | iPhone 11 (chest-mounted) |
| resolution | String | Video resolution | 1080p, 4K |
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£15,000
Download Dataset in VIDEO Format
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