# meanAveragePrecision(predictions:annotations:confidenceThresholds:overlapThreshold:) Calculates the mean average precision at the bounding box overlap threshold. ``` func meanAveragePrecision(predictions: [[DetectedObject]], annotations: [ObjectDetectionAnnotation], confidenceThresholds: [Label : Float] = [:], overlapThreshold: Double = 0.5) -> Scalar where Scalar : BinaryFloatingPoint ``` ## Parameters `predictions` A list of all the predictions from an object detection model. Each element in the list is a list of predictions from one image. `annotations` A list of all the annotations. Each element is an `ObjectDetectionAnnotation` object from one image. `confidenceThresholds` Confidence thresholds for each label. The values will always be between 0.0 and 1.0. If any label does not have a threshold, the `defaultConfidenceThreshold` is used for that label. The default value is `[:]`. `overlapThreshold` The overlap threshold for the bounding boxes. The value will always be between 0.0 and 1.0. The default value is `0.5`. ## Return Value The mean average precision at the overlap threshold. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)