Datasets › Image Aesthetics dataset
Image Aesthetics dataset
The image aesthetic benchmark [18] consists of 10800 Flickr photos of four categories, i.e., “animals”, “urban”, “people” and “nature”, and is constructed originally to retrieve beautiful yet unpopular images in social networks. The ground truths of the photos in the benchmark are five aesthetic grades: “Unacceptable” - images with extremely low quality, out of focus or underexposed, “Flawed” - images with some technical flaws and without any artistic value, “Ordinary” - standard quality images without technical flaws, “Professional” - professional-quality images with some artistic value, and “Exceptional” - very appealing images showing both outstanding professional quality and high artistic value.
Image Source: OrdinalCLIP
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | ||||
|---|---|---|---|---|---|---|
| Aesthetics Quality Assessment | Image Aesthetics dataset | OrdinalCLIP Accuracy 73.05 | OrdinalCLIP: Learning Rank Prompts for Language-Guided... | xk-huang/OrdinalCLIP | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers 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 5. 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 | |||
|---|---|---|---|---|
| OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression | 1 | 1 | 6 Jun 2022 | not harvested |
| Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression | 1 | 1 | 25 Mar 2021 | ran 8 of 8 samples (0 unverified; 8 pointer-only for licence) |
| Soft Labels for Ordinal Regression | 0 | 1 | 1 Jun 2019 | not harvested |
| A Constrained Deep Neural Network for Ordinal Regression | 0 | 1 | 1 Jun 2018 | 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
- Image Aesthetics dataset
1 variant name, as the archive lists them.
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