Egocentric Meal Preparation — China (500 Hours)
Egocentric & First-Person Data
Tags and Keywords

£1,500
About
This SAMPLE listing showcases egocentric (first-person) video data captured during meal preparation and cooking tasks in China. The dataset features everyday kitchen cooking workflows captured with an 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 meal preparation and cooking tasks
- Everyday kitchen cooking and ingredient handling sequences
- Regional Chinese culinary workflows
- Metadata: activity labels, environment tags, session identifiers
Distribution
- Format: Video files (MP4)
- Data Volume: 500 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 kitchen and cooking task monitoring
- Human Activity Recognition: Modeling meal preparation and cooking behavior patterns
- AR/VR Applications: Building immersive culinary training experiences
- AI Training: Fine-tuning large multimodal models on real-world first-person cooking data
Coverage
- Geographic Coverage: China (residential and commercial kitchens)
- Time Range: Recent multi-session capture (2025-2026)
- Demographics: Adults performing meal preparation and cooking tasks
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 cooking data.
- Researchers: For academic or scientific studies in human activity recognition.
- Businesses: For culinary 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. CN_MEALPREP_0001 |
| timestamp | Datetime | Frame/segment timestamp | ISO 8601 format |
| activity_label | String | Annotated activity being performed | Chopping, Stir-Frying, Plating, Cleaning |
| camera_type | String | Type of camera used | GoPro Hero 9 |
| resolution | String | Video resolution | 1080p, 4K |
| imu_data | JSON | Synchronized motion sensor readings | Accelerometer, Gyroscope |
Loading...
£1,500
Download Dataset in VIDEO Format
Recommended Datasets
Loading recommendations...
