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. 2022 Sep 20;12:15705. doi: 10.1038/s41598-022-19697-1

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Comparison of the defect lifetime distribution prediction by DefectTrack and by Human Experts with the ground truth. (a) The cumulative distribution functions (CDF) of defect lifetime distribution of ground truth, as predicted by DefectTrack, and four human expert measurements. (b) Histogram showing the true lifetime distribution, DefectTrack prediction, and Human Expert measurements. (c) Normalized lifetime histogram. 93.4% of ground truth was included in the comparison after lifetime cutoffs. (d) The calculated distribution-difference (Dist. Diff.) for different bin widths (Fig. S7 and Table S2). The black arrow points to the bin widths at which DefectTrack has the lowest distribution-difference. Note the distribution-difference comparison can only be made for each bin width, and not across bin widths. (e) The correlation between the calculated distribution-difference (Dist. Diff.) on the y-axis and the MOT tracking performance evaluation on the x-axis.