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No-Reference Image Quality Assessment datasets

archive 2025-07-28

8 datasets carry the task tag "No-Reference Image Quality Assessment" (the task itself: No-Reference Image Quality Assessment), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52No-Reference Image Quality Assessment 8

No-Reference Image Quality Assessment datasets 1–8 of 8

CSIQ (Categorical Subjective Image Quality)
The CSIQ database consists of 30 original images, each is distorted using six different types of distortions at four to five different levels of distortion.
ImagesImage Quality AssessmentNo-Reference Image Quality Assessment
115 papers · 1 benchmark
KonIQ-10k (Konstanz Image Quality 10k Database)
KonIQ-10k is a large-scale IQA dataset consisting of 10,073 quality scored images.
Image Quality AssessmentNo-Reference Image Quality Assessment
113 papers · 2 benchmarks
SPAQ (Smartphone Photography Attribute and Quality)
The Smartphone Photography Attribute and Quality (SPAQ) dataset is a comprehensive database for the perceptual quality assessment of smartphone photography.
Image Quality AssessmentNo-Reference Image Quality Assessment
86 papers · 2 benchmarks
KADID-10k
Konstanz artificially distorted image quality database (KADID-10k) contains 81 pristine images, each degraded by 25 distortions in 5 levels.
Image Quality AssessmentNo-Reference Image Quality Assessment
29 papers · 2 benchmarks
MSU NR VQA Database (MSU No-Reference Video Quality Assessment Database)
The dataset was created for video quality assessment problem.
ImagesVideosImage Quality AssessmentVideo Quality AssessmentNo-Reference Image Quality AssessmentBlind Image Quality Assessment
20 papers · 2 benchmarks
TID2013
TID2013 is a dataset for image quality assessment that contains 25 reference images and 3000 distorted images (25 reference images x 24 types of distortions x 5 levels of distortions).
ImagesImage Quality AssessmentNo-Reference Image Quality Assessment
17 papers · 1 benchmark
UHD-IQA
We introduce a novel Image Quality Assessment (IQA) dataset comprising 6073 UHD-1 (4K) images, annotated at a fixed width of 3840 pixels.
ImagesImage Quality AssessmentNo-Reference Image Quality AssessmentNR-IQABlind Image Quality Assessment4k
9 papers · 1 benchmark
LIVE (Laboratory for Image & Video Engineering)
Briefly describe the dataset.
No-Reference Image Quality AssessmentNR-IQA
6 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.