reidentificationMetrics

Re-identification (ReID) quality metrics

Since R2024a

Description

An reidentificationMetrics object stores ReID quality metrics, such as the cumulative matching characteristic (CMC) curve and mean average precision (mAP), for a set of images.

Creation

Create an reidentificationMetrics object by using the evaluateReidentificationNetwork function.

Properties

DataSetMetrics — Metrics aggregated over the data set

table

This property is read-only.

Metrics aggregated over the data set, stored as a table with one row. The DatasetMetrics property has columns corresponding to these evaluation metrics. These metrics are not in output table order.

• AP — Average precision, stored as a numeric scalar. The average precision metric represents the accuracy of image search results for a query image.

• mAP — Mean average precision (mAP), stored as a numeric scalar. The mAP is an average of the average precision AP in the same table across all corresponding queries.

• CMC — Cumulative matching characteristic, stored as a numeric scalar.

ClassMetrics — Metrics for each class

table

This property is read-only.

Metrics for each class, stored as a table with C rows, where C is the number of object classes specified to the labelsargument of the evaluateReidentificationNetwork function. The ClassMetrics has columns corresponding to these evaluation metrics. These metrics are not in output table order.

• AP — Average precision, stored as a numeric scalar. The average precision metric represents the accuracy of image search results for a query image.

• mAP — Mean average precision (mAP), stored as a numeric scalar. The mAP is an average of the average precision AP in the same table across all corresponding queries.

• CMC — Cumulative matching characteristic, stored as a numeric scalar.

ClassNames — Object class names

cell array | categorical vector | cell array of character vectors

This property is read-only.

Names of the object classes that the ReID network is trained to re-identify, stored as a cell array, categorical vector, or cell array of character vectors.

Object Functions

plot	Plot re-identification (ReID) metrics

Version History

Introduced in R2024a