Datasets › Caltech-256
Caltech-256
Caltech-256 is an object recognition dataset containing 30,607 real-world images, of different sizes, spanning 257 classes (256 object classes and an additional clutter class). Each class is represented by at least 80 images. The dataset is a superset of the Caltech-101 dataset.
Source: Exploiting Non-Linear Redundancy for Neural Model Compression
Image Source: ML4A
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 | ||||
|---|---|---|---|---|---|---|
| Image Classification | Caltech-256 | AG-Net Accuracy 96.89% | Attend and Guide (AG-Net): A Keypoints-driven... | DanielKovach/AG-Net | 5 | Compare |
| Few-Shot Image Classification | Caltech-256 5-way (1-shot) | UL-Hopfield (ULH) Accuracy 74.7 | Unsupervised Learning using Pretrained CNN and... | — | 3 | Compare |
| Semi-Supervised Image Classification | Caltech-256, 1024 Labels | UL-Hopfield (ULH) Accuracy 77.40% | Unsupervised Learning using Pretrained CNN and... | — | 1 | Compare |
| Semi-Supervised Image Classification | Caltech-256 | UL-Hopfield (ULH) Accuracy 77.40% | Unsupervised Learning using Pretrained CNN and... | — | 1 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 401. 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 | |||
|---|---|---|---|---|
| MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers | 1 | 1 | 14 Oct 2022 | not harvested |
| WaveMix: A Resource-efficient Neural Network for Image Analysis | 1 | 1 | 28 May 2022 | not harvested |
| Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition | 1 | 1 | 23 Oct 2021 | not harvested |
| Non-binary deep transfer learning for image classification | 1 | 2 | 19 Jul 2021 | not harvested |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition | 1 | 1 | 12 Jun 2018 | not harvested |
| Unsupervised Learning using Pretrained CNN and Associative Memory Bank | 0 | 3 | 2 May 2018 | not harvested |
Dataset loaders archive 2025-07-28
3 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Caltech-256, 1024 Labels
- Caltech-256
- Caltech-256 5-way (1-shot)
3 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections