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Image Compression datasets
archive 2025-07-28
12 datasets carry the task tag "Image Compression" (the task itself: Image Compression), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. 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
Image Compression datasets 1–12 of 12
description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
STL-10 (Self-Taught Learning 10)
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or self-taught learning.
1,092 papers · 18 benchmarks
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images.
805 papers · 14 benchmarks
BSDS500 (Berkeley Segmentation Dataset 500)
Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection.
261 papers · 8 benchmarks
FER2013 (Facial Expression Recognition 2013 Dataset)
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral.
168 papers · 5 benchmarks
Imagenet32 is a huge dataset made up of small images called the down-sampled version of Imagenet.
112 papers · 4 benchmarks
PatchCamelyon is an image classification dataset.
110 papers · 4 benchmarks
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class.
90 papers · 5 benchmarks
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class.
59 papers · 5 benchmarks
UPIQ (Unified Photometric Image Quality)
Contains over 4,000 images created by realigning and merging existing HDR and standard-dynamic-range (SDR) datasets.
7 papers · 0 benchmarks
This is the paper “DF-RAP: A Robust Adversarial Perturbation for Defending against Deepfakes in Real-world Social Network Scenarios" OSN-transmission CelebA sampling dataset collected by manual upload and download.
1 paper · 0 benchmarks
We propose a new light field image database called “PINet” inheriting the hierarchical structure from WordNet.
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.