Datasets › SUN
SUN (SUN Database)
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not all images are equal in memory. Some stitch to our minds, and other are forgotten. In this paper we focus on the problem of predicting how memorable an image will be. We show that memorability is a stable property of an image that is shared across different viewers. We introduce a database for which we have measured the probability that each picture will be remembered after a single view. We analyze image features and labels that contribute to making an image memorable, and we train a predictor based on global image descriptors. We find that predicting image memorability is a task that can be addressed with current computer vision techniques. Whereas making memorable images is a challenging task in visualization and photography, this work is a first attempt to quantify this useful quality of images.
Benchmarks archive 2025-07-28
All 4 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 | ||||
|---|---|---|---|---|---|---|
| Generalized Few-Shot Learning | SUN | DRAGON Per-Class Accuracy (1-shot) 41.0 | From Generalized zero-shot learning to long-tail with... | dvirsamuel/DRAGON | 5 | Compare |
| Long-tail learning with class descriptors | SUN-LT | DRAGON + Bal'Loss Per-Class Accuracy 36.1 | From Generalized zero-shot learning to long-tail with... | dvirsamuel/DRAGON | 5 | Compare |
| Zero-Shot Transfer Image Classification | SUN | EVA-CLIP-18B Accuracy 77.7 | EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters | baaivision/EVA +1 | 3 | Compare |
| Few-Shot Image Classification | SUN - 0-Shot | Synthesised Classifier Accuracy 62.7% | Synthesized Classifiers for Zero-Shot Learning | JudyYe/zero-shot-gcn +1 | 2 | Compare |
Papers archive 2025-07-28
10 shown of 10 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 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
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
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SUN
- SUN - 0-Shot
- SUN-LT
3 variant names, as the archive lists them.
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