Task Categories: other
Languages: en
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: crowdsourced
Annotations Creators: crowdsourced
Source Datasets: original
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Dataset Card for Cats Vs. Dogs

Dataset Summary

A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.

Supported Tasks and Leaderboards

  • image-classification



Dataset Structure

Data Instances

A sample from the training set is provided below:

  'image': '/root/.cache/huggingface/datasets/downloads/extracted/6e1e8c9052e9f3f7ecbcb4b90860668f81c1d36d86cc9606d49066f8da8bfb4f/PetImages/Cat/1.jpg',
  'label': 0

Data Fields

The data instances have the following fields:

  • image_file_path: a string filepath to an image.
  • labels: an int classification label.

Data Splits

name train
cats_and_dogs 23410

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]


Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
year = {2007},
month = {October},
publisher = {Association for Computing Machinery, Inc.},
url = {},
edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},


Thanks to @nateraw for adding this dataset.

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