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2021 | OriginalPaper | Chapter

Statistical Precision-Recall Curves for Object Detection Algorithms Performance Measurement

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Abstract

A statistical approach to the construction of Precision-Recall curves is proposed for analyzing the quality of algorithms for detecting objects in images. Statistical Precision-Recall curves, unlike traditional ones, are guaranteed to be monotonously non-increasing. At the same time, the statistical average accuracy of object detection algorithms on small test data sets turns out to be less than the traditional average accuracy. On relatively large test image sets, these differences are smoothed out.

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Metadata
Title
Statistical Precision-Recall Curves for Object Detection Algorithms Performance Measurement
Author
Anna A. Kuznetsova
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-66077-2_27

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