About

This module looks at predicted annotations and ground truth annotations of a dataset and evaluates how good the predictions are.

Inputs

• A Dataset of Images: The dataset that is of interest to analyst
• Ground Truth G-Object: Graphical annotation object of the input dataset that corresponds to Ground Truth Annotations
• Predicted G-Object: Graphical annotation object of the input dataset that corresponds to Predicted Annotations

Outputs

• Table, with high level stats
• Confusion Matrix, showing the prediction performance of each class

User Manual

  Click Here for more detailed instruction on how to run this module.