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Object Detection In Indoor Scenes datasets
archive 2025-07-28
10 datasets carry the task tag "Object Detection In Indoor Scenes" (the task itself: Object Detection In Indoor Scenes), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Object Detection In Indoor Scenes datasets 1–10 of 10
The SUN RGBD dataset contains 10335 real RGB-D images of room scenes.
477 papers · 11 benchmarks
Kitchen Scenes is a multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset.
4 papers · 0 benchmarks
ISOD (Indoor Small Object Dataset)
ISOD contains 2,000 manually labelled RGB-D images from 20 diverse sites, each featuring over 30 types of small objects randomly placed amidst the items already present in the scenes.
1 paper · 0 benchmarks
This dataset consists of images of bottles and cups.
0 papers · 0 benchmarks
This dataset is an extremely challenging set of over 5000+ original Electronic Items images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision…
0 papers · 0 benchmarks
This dataset is an extremely challenging set of over 7000+ original Masks images captured and crowdsourced from over 1200+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DC…
0 papers · 0 benchmarks
This dataset is collected by DataCluster Labs, India.
0 papers · 0 benchmarks
This dataset is an extremely challenging set of over 3000+ originally Stair images captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at…
0 papers · 0 benchmarks
This dataset is an extremely challenging set of over 7000+ original Suitcase/Luggage images captured and crowdsourced from over 800+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals…
0 papers · 0 benchmarks
This dataset is an extremely challenging set of over 3000+ original Transparent object images such as glasses and mirrors are captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and…
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.