News Release

2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes

Peer-Reviewed Publication

PLOS

2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm

image: Example of the machine learning output where the focus for decision-making as indicated by the heat map is on the record card which has a sex indicator on it. view more 

Credit: Budka et al, 2021, PLOS ONE, (CC-BY 4.0, https://creativecommons.org/licenses/by/4.0/)

2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes.

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Article Title: Sexing Caucasian 2D footprints using convolutional neural networks

 

Funding: The authors received no specific funding for this work.

 

Competing Interests: The authors have declared that no competing interests exist.


Article URL:  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255630

Journal

PLOS ONE

DOI

10.1371/journal.pone.0255630

Method of Research

Experimental study

Subject of Research

People

Article Title

Sexing Caucasian 2D footprints using convolutional neural networks

Article Publication Date

18-Aug-2021

COI Statement

The authors have declared that no competing interests exist.

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