In the original article, there was a mistake in Figure 8 as published. The labels for the Validation and Test losses were switched in the legend. The Validation loss should be indicated as a red line with circular markers and the test loss should be indicated as a red line with starred markers. The text and caption described the figure correctly and therefore remain unchanged. The corrected Figure 8 appears below.
Figure 8
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Summary
Keywords
deep learning-artificial neural network (DL-ANN), active learning, pineapple, computer vision, remote sensing-GIS, weakly supervised, counting, density estimation
Citation
Hobbs J, Prakash P, Paull R, Hovhannisyan H, Markowicz B and Rose G (2021) Corrigendum: Large-Scale Counting and Localization of Pineapple Inflorescence Through Deep Density-Estimation. Front. Plant Sci. 12:695397. doi: 10.3389/fpls.2021.695397
Received
14 April 2021
Accepted
15 April 2021
Published
17 May 2021
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2021
Updates
Copyright
© 2021 Hobbs, Prakash, Paull, Hovhannisyan, Markowicz and Rose.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jennifer Hobbs jennifer+research@intelinair.com
This article was submitted to Technical Advances in Plant Science, a section of the journal Frontiers in Plant Science
†These authors have contributed equally to this work
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