Datasets › SPAQ
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. It was introduced in a paper titled "Perceptual Quality Assessment of Smartphone Photography" presented at the IEEE Conference on Computer Vision and Pattern Recognition in 2020.
The SPAQ dataset consists of 11,125 pictures taken by 66 smartphones. Each image in the dataset is attached with rich annotations, including: - Image quality - Image attributes (brightness, colorfulness, contrast, noisiness, and sharpness) - Scene category labels (animal, cityscape, human, indoor scene, landscape, night scene, plant, still life, and others) - Exchangeable image file format (EXIF) data
These annotations were collected in a well-controlled laboratory environment. The dataset has been used to train blind image quality assessment (BIQA) models, providing insights into how EXIF data, image attributes, and high-level semantics interact with image quality. The SPAQ dataset and the proposed BIQA models are available on GitHub.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| No-Reference Image Quality Assessment | SPAQ | RvTC (image-only) PLCC 0.93 | Language Integration in Fine-Tuning Multimodal Large... | — | 1 | Compare |
| Image Quality Assessment | SPAQ | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 86. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression | 0 | 1 | 20 Jul 2025 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SPAQ
1 variant name, as the archive lists them.
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