This documentation is for scikit-learn version 0.10Other versions

Citing

If you use the software, please consider citing scikit-learn.

This page

sklearn.datasets.load_sample_images

sklearn.datasets.load_sample_images()

Load sample images for image manipulation. Loads both, china and flower.

Returns :

data : Bunch

Dictionary-like object with the following attributes : ‘images’, the two sample images, ‘filenames’, the file names for the images, and ‘DESCR’ the full description of the dataset.

Examples

To load the data and visualize the images:

>>> from sklearn.datasets import load_sample_images
>>> dataset = load_sample_images()     
>>> len(dataset.images)                

2 >>> first_img_data = dataset.images[0] #doctest: +SKIP >>> first_img_data.shape #doctest: +SKIP (427, 640, 3) >>> first_img_data.dtype #doctest: +SKIP dtype(‘uint8’)