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. 2021 Dec 14;12:770916. doi: 10.3389/fpls.2021.770916

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Copyright © 2021 Guo, Li, Zhang, Li, Hu, Xin, Chen, Wang and Zhu.

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.

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Precision-recall curves of the different convolutional neural networks in test set. (A–C) Are the Faster R-CNN (ResNet50) network Precision-Recall curves, where (A) is the full grain precision-recall curve obtained by the Faster R-CNN (ResNet50) network, (B) is the empty grain precision-recall curve obtained by the Faster R-CNN (ResNet50) network, and (C) is the half grain precision-recall curve obtained by the Faster R-CNN (ResNet50) network. (D–F) Are the Faster R-CNN (VGG16) network Precision-Recall curves, where (D) is the full grain precision-recall curve obtained by the Faster R-CNN (VGG16) network, (E) is the empty grain precision-recall curve obtained by the Faster R-CNN (VGG16) network, and (F) is the half grain precision-recall curve obtained by the Faster R-CNN (VGG16) network. (G–I) Are the SSD network precision-recall curves, where (G) is the full grain precision-recall curve obtained by the SSD network, (H) is the empty grain precision-recall curve obtained by the SSD network, and (I) is the half grain precision-recall curve obtained by the SSD network. (J–L) Are the EfficientDet network precision-recall curves, where (J) is the full grain precision-recall curve obtained by the EfficientDet network, (K) is the empty grain precision-recall curve obtained by the EfficientDet network, and (L) is the half grain precision-recall curve obtained by the EfficientDet network. (M–O) Are the YOLO V3 network precision-recall curves, where (M) is the full grain precision-recall curve obtained by the YOLO V3 network, (N) is the empty grain precision-recall curve obtained by the YOLO V3 network, and (O) is the half grain precision-recall curve obtained by the YOLO V3 network. (P–R) Are the YOLO V4 network precision-recall curves, where (P) is the full grain precision-recall curve obtained by the YOLO V4 network, (Q) is the empty grain precision-recall curve obtained by the YOLO V4 network, and (R) is the half grain precision-recall curve obtained by the YOLO V4 network.