Reveal Help Center

Image Labeling

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. 

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 diplayed at the bottom of the coding pane of the document review screen with a summary confidence score.

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Custom Image Labeling

Custom labeling may also be added in Review using the Label tool in the main Review screen.

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  • Documents - Apply to either documents selected with a checkmark in the table, or all documents in the current results list.

  • Overwrite existing labels - Replacing previously processed and applied labels is generally not recommended. This tool is intended to supplement with custom labels.

  • Job Name - The job name will enable monitoring of the status of the job under Jobs > Image Label via the Flyout Menu.

As noted above, the labels themselves are written to the Image Labels field for searching and filtering.

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Reviewers may have the option to bring up and query any of the Image Labels Over nn or Image Labels Under nn confidence-level fields to narrow a review to high-confidence subject labels.