Egocentric Retail Shopping & Navigation — Japan (300 Hours)

Data Product Features

• First-person (head/chest-mounted) video capturing retail navigation, shelf browsing, and checkout interactions
• Synchronized IMU / motion sensor data for camera-wearer movement
• Multiple camera types and resolutions, timestamped video segments
• Metadata: activity labels, environment tags, session identifiers

Distribution

• Format: Video files (MP4), synchronized sensor logs (CSV/JSON)
• Data Volume: 300 hours of footage across multiple recording sessions
• Delivery: Custom delivery (cloud storage transfer upon purchase)

Usage

• Robotics Perception: Training egocentric vision models for retail navigation and object recognition
• Human Activity Recognition: Modeling shopping behavior and consumer navigation patterns
• AR/VR Applications: Building immersive retail and indoor-navigation experiences
• AI Training: Fine-tuning large multimodal models on real-world first-person retail data

Coverage

• Geographic Coverage: Japan (urban retail environments)
• Time Range: Recent multi-session capture (2025-2026)
• Demographics: Adult participants across varied retail settings

License

AI Training Rights

• 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.

• 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 retail data.
• Researchers: For academic or scientific studies in human activity recognition.
• Businesses: For retail analytics, AI development, and AR/VR product design.

Data Dictionary