Datasets with the BigML Dashboard

2.5 Image Fields

For every image in a dataset, there are at least two fields associated with it. The field with an image type points to the normalized version of the image file itself, while the field with a path type represents its filename.

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Figure 2.7 Example of a dataset having two image-related fields

In the image field, users can preview images in its “Histogram” column. Click on the Refresh button on the right next to the images to load a different set of images for preview.

Because all filenames are unique, the path field is set to non-preferred by default.

Oftentimes, there are additional fields associated with images. A common situation is automatic image labeling, when the folder names are used as image labels. In such cases, BigML automatically extracts the innermost directory in the filenames and assigns them as the labels of the images, respectively. (See the section Automatic Image Labels of the Sources with the BigML Dashboard [ 22 ] .)

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Figure 2.8 Example of a dataset having three image-related fields

When an image composite source is created, BigML automatically generates a set of image features for each image. Users can also configure and select different combinations of image features, or disable them. After a dataset is created, all fields of the image features are hidden in the dataset view, same as in the source view. However, users can click on the “show image features” icon next to the search box as shown below:

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Figure 2.9 The icon to toggle between showing and hiding the fields of image features

Then users can preview all fields of the image features that came with the dataset, and their statistics in the histogram column:

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Figure 2.10 Previewing the fields of image features and their statistics

When the image feature fields are shown, users can click on the same icon to hide them.

For information about the image features and how to configure them, please refer to the section Image Analysis of the Sources with the BigML Dashboard [ 22 ] .