Computer Vision • Geospatial AI
Inferring Geographic
Location from Visual Data
Research system for extracting geographic, architectural, and environmental signals from images using multimodal AI
Research Capabilities
Advanced AI models for visual geolocation and environmental analysis
Visual Geolocation
Predict latitude and longitude from architectural and environmental cues using deep learning models trained on global imagery datasets.
Landmark Recognition
Identify known and unknown landmarks using contrastive vision models with zero-shot classification capabilities.
Urban & Environmental Signals
Infer walkability, density, and terrain characteristics from visual context through multi-task learning frameworks.
NaviSense Model
Our proprietary transformer-based architecture currently in development that combines visual embeddings with geospatial priors for enhanced location prediction accuracy and semantic understanding of built environments.
Take Pic2Nav Anywhere
Download our mobile app and access powerful geolocation AI directly from your phone. Analyze locations, identify landmarks, and explore the world around you.
Publications
Technical articles, experiments, and system updates.
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