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Density Estimation datasets
archive 2025-07-28
13 datasets carry the task tag "Density Estimation" (the task itself: Density Estimation), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. 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
Density Estimation datasets 1–13 of 13
description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.
7,651 papers · 44 benchmarks
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution.
954 papers · 13 benchmarks
BSD (Berkeley Segmentation Dataset)
BSD is a dataset used frequently for image denoising and super-resolution.
718 papers · 48 benchmarks
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that contains the images not from the 101 object categories.
709 papers · 10 benchmarks
UCI Machine Learning Repository is a collection of over 550 datasets.
56 papers · 9 benchmarks
JHU-CROWD++ is A large-scale unconstrained crowd counting dataset with 4,372 images and 1.51 million annotations.
48 papers · 1 benchmark
UCF-CC-50 is a dataset for crowd counting and consists of images of extremely dense crowds.
32 papers · 0 benchmarks
The Caltech 101 Silhouettes dataset consists of 4,100 training samples, 2,264 validation samples and 2,307 test samples.
27 papers · 0 benchmarks
COWC (Cars Overhead With Context)
The Cars Overhead With Context (COWC) data set is a large set of annotated cars from overhead.
22 papers · 0 benchmarks
(JHU-CROWD) a crowd counting dataset that contains 4,250 images with 1.11 million annotations.
22 papers · 0 benchmarks
APRICOT is a collection of over 1,000 annotated photographs of printed adversarial patches in public locations.
8 papers · 0 benchmarks
This dataset are about Nafion 112 membrane standard tests and MEA activation tests of PEM fuel cell in various operation condition.
1 paper · 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.