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Correction: YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting
Plant Methods volume 19, Article number: 45 (2023)
The Original Article was published on 28 January 2023
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.
Illustration of YOLO POD’s image augmentation pipeline
Illustration of the overall structure and sub-modules of YOLO X
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
Reference
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. https://doi.org/10.1186/s13007-023-00985-4.
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Xiang, S., Wang, S., Xu, M. et al. Correction: YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting. Plant Methods 19, 45 (2023). https://doi.org/10.1186/s13007-023-01013-1
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DOI: https://doi.org/10.1186/s13007-023-01013-1