Contents

MLObjectDetectorMetrics

Metrics you use to evaluate an object detector’s performance.

Declaration

struct MLObjectDetectorMetrics

Overview

An object detector generates intersection-over-union (IoU) metrics, which is a way to measure the similarity of two bounding boxes. The IoU metric is the overlapping area divided by the area of the union of the bounding boxes.

For example, two bounding boxes that overlap perfectly have an IoU of 1.0, because their overlap is the same area as the union. Two bounding boxes that have no overlap have an IoU of 0.0. Anything between 0.0 and 1.0 either means the two bounding boxes partially overlap or one box completely encases the other.

Topics

Creating metrics

Assessing the model

Handling errors

Describing metrics

Default Implementations

See Also

Model accuracy