gatos_vs_perros

• Descripción :

Un gran conjunto de imágenes de gatos y perros. Hay 1738 imágenes corruptas que se eliminan.

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

• Código fuente : tfds.image_classification.CatsVsDogs

• Versiones :

  • 4.0.0 (predeterminado): nueva API dividida ( https://tensorflow.org/datasets/splits )

• Tamaño de la descarga : 786.68 MiB

• Tamaño del conjunto de datos : Unknown size

• Auto-caché ( documentación ): Desconocido

• Divisiones :

• Estructura de 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),
})

• Documentación de características :

• Claves supervisadas (Ver as_supervised ): ('image', 'label')

• Figura ( tfds.show_examples ):

• Ejemplos ( tfds.as_dataframe ):

• Cita :

@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)},
}