Skip to main content
Plant Methods logoLink to Plant Methods
. 2023 May 12;19:45. doi: 10.1186/s13007-023-01013-1

Correction: YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting

Shuai Xiang 1,2, Siyu Wang 1,2, Mei Xu 1,2, Wenyan Wang 1,2, Weiguo Liu 1,2,✉
PMCID: PMC10176821  PMID: 37170097

Correction: Plant Methods (2023) 19:8 https://doi.org/10.1186/s13007-023-00985-4

In the original publication of the article [1] Figures 2, 3 and 4 were wrongly numbered and the citations were incorrect. The Fig. 4 should have been Fig. 2; Fig. 2 should have been Fig. 3; Fig. 3 should have been Fig. 4 as shown below. The placement of figures and their citations were corrected. The original article has been corrected.

Fig. 2.

Fig. 2

Illustration of YOLO POD’s image augmentation pipeline

Fig. 3.

Fig. 3

Illustration of the overall structure and sub-modules of YOLO X

Fig. 4.

Fig. 4

Illustration of the difference between Spatial Pyramid Pooling and the Spatial Pyramid Pooling-Fast. SPPB uses 3 pooling layers with different kernel-size, while SPPBF uses 3 consecutive pooling with kernel-size=5

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Reference

  • 1.Xiang S, Wang S, Xu M, Wang W, Liu W. YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting. Plant Methods. 2023;19:8. doi: 10.1186/s13007-023-00985-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Plant Methods are provided here courtesy of BMC

RESOURCES