NYC3DCars

by Kevin Matzen,Noah SnavelyUnknown

NYC3DCars

A vehicle detection database for vision tasks set in the real world. 3D Reconstructions: each photograph in NYC3DCars has been geo-registered to the Earth, providing full camera intrinsics and extrinsics in an Earth-Centered, Earth-Fixed coordinate system enabling seamless integration with existing geospatial data. Geographic Data: companion databases such as those provided by OpenStreetMap and NYC OpenData have been integrated for easy access to geographic features such as road, sidewalk, and median polygons as well as road network connectivity. Vehicle Annotations: human annotators have provided detailed descriptions for vehicles contained in the database. Annotations include a full 6 degree of freedom vehicle pose, vehicle type, 2D vehicle bounding box, and approximate photo time of day.

Dataset Attributes

Label SVG
TasksDetection
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CategoriesRoads, Cars, Vehicles
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SensorSattelite Imagery