{"url":"/dataset/hm3d-semantics","name":"HM3D-Semantics","full_name":"Habitat-Matterport 3D Semantics","description_markdown":"**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.\r\n\r\nIt can be used to train embodied agents, such as home robots and AI assistants, at scale for semantic navigation tasks.\r\n\r\nSource: [https://aihabitat.org/datasets/hm3d-semantics/](https://aihabitat.org/datasets/hm3d-semantics/)\r\n\r\nImage Source: [https://aihabitat.org/datasets/hm3d-semantics/](https://aihabitat.org/datasets/hm3d-semantics/)","description_withheld":null,"homepage":"https://aihabitat.org/datasets/hm3d-semantics/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[],"variants":["HM3D-Semantics"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}