How to Create Image Labels (Image Labeling)

This article provides both visual and written instructions for identifying and labeling image content.

NOTE: As of Reveal 11.7, the modal window launched by this action may be moved around the screen by moving the pointer to the top title area; when it becomes a hand, click and move the window as needed.

Reveal Review uses AI capabilities to provide labels for object detection and image classification. This provides a great time and cost saving in the review and analysis of non-textual image content by labeling objects identified in each image. Supported file types are JPG and PNG. Reveal's image labeling functionality will also attempt to convert the following file types into JPG or PNG format and label: .JPEG, .JPG, .BMP, .TIF, .TIFF, .GIF, .PNG.    

Images are classified into an Image Labels field, and each label is assigned weighted confidence in a series of Image Labels Over nn fields and Image Labels Under nn fields that allow the confidence of a label classification to be queried and assessed. Where image labels exist they are displayed at the bottom of the coding pane of the document review screen with a summary confidence score.

1. In the project Review Grid toolbar click the Label tool.
2. Choose between all currently retrieved Documents or manually selected documents.
3. Decide whether to Overwrite existing labels - replacing previously processed and applied labels is generally not recommended as duplicative. Overwriting an image label should supply the same values at the same confidence level for the subject image.
4. A Job name should be supplied to track the progress and result.
5. Results will be displayed in the Image Label table on the Jobs Management screen. 
   1.  Click Jobs on the Navigation Panel. 
      
   2. Click Image Label to view the status of the image labeling job. 

Last Updated 5/24/2023