Data layers

Data layers#

The table below summarizes the available data layers in Imaging Server Kit.

In Python, you can use help() on a data layer object to access its detailed documentation.

Type	Description
`sk.Image`	An n-D image object represented as a Numpy array. Can validate array dimensionality.
`sk.Mask`	A segmentation mask as a Numpy array of integers. Can validates array dimensionality.
`sk.Choice`	A choice of `items` (available choices, rendered as a dropdown selector). Can be used to represent labels for classification.
`sk.Float`	A decimal value. Validates `min` and `max` values. `step` is used to specify incremental steps in UI layouts.
`sk.Integer`	An integer value. Validates `min` and `max` values. `step` is used to specify incremental steps in UI layouts.
`sk.Bool`	A boolean value. Represented as a checkbox in user interfaces.
`sk.String`	A string of text.
`sk.Points`	A collection of point coordinates (n-D, can validate dimensionality).
`sk.Vectors`	A collection of vectors (n-D, can validate dimensionality)
`sk.Boxes`	A collection of bounding boxes.
`sk.Paths`	A collection of paths, for example spline curves.
`sk.Tracks`	Tracking data.
`sk.Notification`	A text notification (with levels `info`, `warning`, or `error`).
`sk.Null`	Represents `None`, `NaN` or null values.