Data Labeling Overview

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Data Labeling Overview

The ‘Data Labeling Overview’ page provides a dashboard that showcases statistical information about data labeling performance from every data collection source.

The “Trends” widget displays information about the amount of data labeled during different time periods, either the last 7 days, last 15 days, or last 30 days)

The “Statistics” widget displays statistics about the labeled data per label source

The “Label Columns” widget displays the list of all label columns created in the dataset for the purpose of capturing labels. In order to perform labeling, a column needs to be created where the label of the record will be stored. This column is called the label column. Apart from listing the existing label columns, the “Label Columns” widget also provides the ability to create new label columns.

Steps to create a label column:

  1. Select the “Add Label Column” button which will open a slider

  2. Select the collect column you need to label

  3. Provide a column name and description

  4. Click the “Create” button to complete creating a label column

Please note, users can only create one label column for each collect column.

The “Labeling Outlier Trends” widget displays statistics about the outliers for each label column before and after labeling.  In Skyl, an outlier is a record that has been labelled differently than the value that it was collected for in the ‘collect’ column.

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