# Result Statistics of Blue Locate and Blue Read

The search results of a Blue Locate or a Blue Read tool includes Speed [ms] metric along with the following metrics calculated for each feature A feature is a visually distinguishable area in an image. Features typically represent something of interest for the application (a defect, an object, a particular component of an object).:

- Found (Features)

- Precision (Features)

- Recall (Features)

- F-Score (Features)

The following metrics are calculated for each model A specific spatial arrangement of a set of features (Blue Locate and Blue Read tools only.) During a post-processing step, the Blue Locate and Blue Read tools can fit all of the features detected in an image to the models defined for the tool. The overall pose and identity of the model is then returned.:

- Found (Models)

- Precision (Models)

- Recall (Models)

- F-Score (Models)

The following result metrics are only shown in the Cognex Deep Learning Parameter Search utility:

- Feature Size Difference: the difference of Feature Size between the correctly found feature and the labeled feature.

- Feature Angle Difference: the difference of Feature Angle between the correctly found feature and the labeled feature.

- Feature Position Distance: the difference of Feature Position between the correctly found feature and the labeled feature.

The found feature is correctly found (marked) if there is a labeled feature relatively close. For each correctly found feature, you can calculate the position distance, angle difference, and size difference by comparing the found feature to the labeled feature.

The reported Feature Position Distance, Feature Angle Difference, and Feature Size Difference in the result table show the root-mean-square averages, calculated over all correctly found features.