A Rich and Realistic 3D Environment
Virtual 3D environment, with 45k indoor 3D scenes. Ranging from two-storied buildings, houses with swimming pools, fitness rooms, and bigger scenes are there. These assets are very useful in Machine Learning.
All 3D objects are fully annotated with category labels. Agents in the environment have access to observations of multiple modalities, including RGB images, depth, segmentation masks, and top-down 2D map views.
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