Fig. 13
From: PFLO: a high-throughput pose estimation model for field maize based on YOLO architecture
The metrics for pose estimation during the training process: a mAP50 - 95 (%) curve changes of Baseline and PFLO; b Pose loss curve changes of Baseline and PFLO; c Precision-confidence curve; d Precision-recall curve; e Recall-confidence curve; f F1-confidence curve