cats_vs_dogs

• Descrição:

Um grande conjunto de imagens de cães e gatos. Existem 1738 imagens corrompidas que foram eliminadas.

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

• O código-fonte: tfds.image_classification.CatsVsDogs

• versões:

  • 4.0.0 (padrão): Nova divisão API ( https://tensorflow.org/datasets/splits )

• Tamanho do download: 786.68 MiB

• Tamanho do conjunto de dados: Unknown size

• Cache-Auto ( documentação ): Desconhecido

• desdobramentos:

• Características:

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

• Chaves supervisionado (Veja as_supervised doc ): ('image', 'label')

• Figura ( tfds.show_examples ):

• Exemplos ( tfds.as_dataframe ):

• citação:

@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)},
}