Regression models are used to predict continuous values. They provide a function that determines a relationship between an independent variable and a dependent variable, allowing you to find trends in your data.
Plainsight supports labeling images using a regression label type that supports a numerical value. In the future, an API will be available to supply data for training a regression model.
Labeled image for a regression model
Define a Regression Label
Navigate to the "Label Definitions" tab of your dataset
Type label name in the "Name" field
Choose Regression from "Type" dropdown
Click "Save" button
A Regression schema element creates an array of objects with data consisting of a float value.
Labeling Regression Data
Once you've defined your Regression label, you can begin annotating your regression data.