objectDetectionMetrics
Description
Use the objectDetectionMetrics
object and its object functions to
evaluate the quality of object detection results.
An objectDetectionMetrics
object stores object detection quality metrics,
such as the average precision (AP) and precision recall, computed per class and per image. To
compute the AP and precision recall metrics, pass the objectDetectionMetrics
object to the averagePrecision
or the precisionRecall
object functions, respectively. To compute the confusion matrix, pass the
objectDetectionMetrics
object to the confusionMatrix
object function. Evaluate the summary of all metrics across all classes and all images in the
data set using the summarize
object
function.
Creation
Create an objectDetectionMetrics
object by using the evaluateObjectDetection
function.
Properties
Object Functions
averagePrecision | Evaluate average precision metric of object detection results |
confusionMatrix | Compute confusion matrix of object detection results |
precisionRecall | Get precision recall metrics of object detection results |
summarize | Summarize object detection performance metrics at data set and class level |
metricsByArea | Evaluate detection performance across object size ranges |