cats_vs_dogs

• Description:

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

• Additional Documentation: Explore on Papers With Code

• Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765

• Source code: tfds.image_classification.CatsVsDogs

• Versions:

  • 4.0.0: New split API (https://tensorflow.org/datasets/splits)
  • 4.0.1 (default): Recoding images in generator to fix corrupt JPEG data warnings (https://github.com/tensorflow/datasets/issues/2188)

• Download size: 786.67 MiB

• Dataset size: 1.04 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'train'	23,262

• Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'image/filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(None, None, 3)	uint8
image/filename	Text		string
label	ClassLabel		int64

• Supervised keys (See as_supervised doc): ('image', 'label')

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@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 = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
}