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Unsupervised Object Detection datasets

archive 2025-07-28

10 datasets carry the task tag "Unsupervised Object Detection" (the task itself: Unsupervised Object Detection), 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

Unsupervised Object Detection datasets 1–10 of 10

KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images.
161 papers · 2 benchmarks
In Clipart1k, the target domain classes to be detected are the same as those in the source domain.
48 papers · 3 benchmarks
Watercolor2k is a dataset used for cross-domain object detection which contains 2k watercolor images with image and instance-level annotations.
37 papers · 3 benchmarks
Comic2k is a dataset used for cross-domain object detection which contains 2k comic images with image and instance-level annotations.
29 papers · 4 benchmarks
UVO (Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation)
UVO is a new benchmark for open-world class-agnostic object segmentation in videos.
27 papers · 2 benchmarks
OpenImages V6 is a large-scale dataset , consists of 9 million training images, 41,620 validation samples, and 125,456 test samples.
23 papers · 2 benchmarks
The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological information.
2 papers · 2 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.