# averageOfAveragePrecisionAtVariedThresholds(predictions:annotations:confidenceThresholds:) Calculates average of average precision for all the labels, computed at varied bounding box overlap thresholds. The overlap thresholds range is from `[0.05, 0.95]` with a stride of `0.05`. ``` func averageOfAveragePrecisionAtVariedThresholds(predictions: [[DetectedObject]], annotations: [ObjectDetectionAnnotation], confidenceThresholds: [Label : Float] = [:]) -> [Label : 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 `[:]`. ## Return Value Average of average precision for all the labels, computed at varied bounding box overlap thresholds. --- 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)