Datasets › Cats and Dogs
Cats and Dogs
A large set of images of cats and dogs.
Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765
Source code: tfds.image_classification.CatsVsDogs
Versions:
4.0.0 (default): New split API (https://tensorflow.org/datasets/splits) Download size: 786.68 MiB
Source: https://www.tensorflow.org/datasets/catalog/cats_vs_dogs
Benchmarks archive 2025-07-28
All 5 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 | ||||
|---|---|---|---|---|---|---|
| Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly | Cats and Dogs | RSRAE AUC-ROC 0.982 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | dmzou/RSRAE +1 | 6 | Compare |
| Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly | Cats and Dogs | Shell-Renormalized AUC-ROC 0.953 | Shell Theory: A Statistical Model of Reality | wen-yan-lin/shell-theory | 6 | Compare |
| Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly | Cats and Dogs | Shell-Renormalized AUC-ROC 0.996 | Shell Theory: A Statistical Model of Reality | wen-yan-lin/shell-theory | 6 | Compare |
| Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly | Cats and Dogs | RSRAE AUC-ROC 0.981 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | dmzou/RSRAE +1 | 5 | Compare |
| Image Classification | cats_vs_dogs | µ2Net+ (ViT-L/16) Accuracy 99.83 | A Continual Development Methodology for Large-scale... | google-research/google-research | 1 | Compare |
Papers archive 2025-07-28
7 shown of 7 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 13. 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 | |||
|---|---|---|---|---|
| Locally varying distance transform for unsupervised visual anomaly detection | 1 | 4 | 23 Oct 2022 | not harvested |
| A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems | 1 | 1 | 15 Sep 2022 | not harvested |
| Shell Theory: A Statistical Model of Reality | 1 | 3 | 28 May 2021 | not harvested |
| Deep unsupervised anomaly detection | 0 | 4 | 5 Jan 2021 | not harvested |
| Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | 2 | 4 | 30 Mar 2019 | not harvested |
| Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | 2 | 4 | 1 Jan 2018 | not harvested |
| Isolation forest | 0 | 4 | 15 Dec 2008 | not harvested |
Dataset loaders archive 2025-07-28
5 loaders as listed in the archive; links are outbound and not re-checked here.
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
- cats_vs_dogs
1 variant name, as the archive lists them.
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