Habitat-Matterport 3D Semantics Dataset (HM3D-Semantics v0.1) is the largest-ever dataset of semantically-annotated 3D indoor spaces. It contains dense semantic annotations for 120 high-resolution 3D scenes from the Habitat-Matterport 3D dataset. The HM3D scenes are annotated with the 1700+ raw object names, which are mapped to 40 Matterport categories. On average, each scene in HM3D-Semantics v0.1 consists of 646 objects from 114 categories.
It can be used to train embodied agents, such as home robots and AI assistants, at scale for semantic navigation tasks.
Source: https://aihabitat.org/datasets/hm3d-semantics/Paper | Code | Results | Date | Stars |
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