This dataset contains geospatial objects and annotations extracted from street-level imagery collected through community contributions. It includes detected urban assets and inventory items, their precise coordinates, geometries, and measured attributes such as heights, distances, and surface areas, plus detection confidence and contributor metadata. The data supports mapping and geographic visualization, spatial queries, proximity analysis, asset inventory tracking, and site selection workflows. Export-ready geometries and annotations enable integration with third-party GIS and downstream analytics. With spatial coordinates included, this dataset enables regional clustering, infrastructure assessments, and operational decision-making based on street-level observations.

Key attributes include:

• Detected street-level objects and urban asset geometries

• Precise spatial coordinates and location accuracy indicators

• Measured attributes: distances, heights, and surface areas

• AI detection metadata and confidence scores

• Contributor and annotation metadata for provenance and tracking

Value Summary:
Asset managers, urban planners, logistics teams, and utilities benefit from rapid, low-cost inventories and spatial analytics that reduce field survey time and improve operational decisions.