Audio ML/ DL - Noise Level Data | 180+ Countries Coverage | CCPA, GDPR Compliant | 35 B + Data Points | 100% Traceable Consent

Multi-Modal Dataset — Noise, Mobility & POI Visitation This dataset combines three critical data streams essential for training multi-modal AI models and powering urban intelligence applications: 1. Noise-Level Data • Over 10 million hours of measured and AI-interpolated noise-level data (dBA) collected globally. • Captures environmental noise intensity across streets, venues, and neighborhoods. • Enables AI models to learn real-world soundscapes, time patterns, and noise pollution dynamics. 2. Anonymized Mobility Patterns • Derived from 1M+ opted-in users, this data provides aggregated people movement information without exposing PII. • Tracks pedestrian and mobility flows, helping AI understand movement patterns, urban rhythms, and behavioral trends. 3. POI Visitation Data • Aggregated POI visitation data revealing how often users visit shops, restaurants, venues, and key locations. • Allows AI models to link human activity and visitation trends to both mobility and environmental conditions. Applications: This dataset is designed for cutting-edge AI use cases where real-world, multi-source information enhances model performance, including: • Multi-Modal AI Modeling Combine noise exposure, human mobility, and visitation data to train AI models that predict behavior, city dynamics, or urban livability. • Urban AI Simulations Train AI to generate, simulate, or improve urban digital twins, mobility predictions, and environmental condition models. • AI-Driven Smart City Solution