In order to evaluate the accuracy of a given AI model inside the Benchmark application, your data must be labeled properly. Data labeling allows you to annotate each piece of content within your dataset so it can be recognized by models and used for predictions.
The Benchmark application makes this process of human-led labeling, quick and efficient by providing an intuitive and integrated solution.
Labeling support for Video, Image, and Audio files
Feature-rich editor to increase labeling speed and accuracy
Custom classes and attributes to help organize and classify labels
Data specific annotation types to help label data properly
Time-based text editor
Keyframe video annotation
Label and Annotation Editing Tool
To access the Label and Annotation tool, navigate to the dataset you would like to annotate. To begin labeling your assets select from a single asset from the Assets tab or click the Label and Annotate option in your action bar at the top right of your page.
The Label and Annotation interface will automatically adjust to display the correct features for your Dataset content.