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Table 4 Comparison of detection speed of different models

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

Models

Inference speed

Parameters

FLOPs

Mask R-CNN

15.0 s

43.8 M

499.8G

Swin-S Mask R-CNN

9.81 s

69.1 M

723.5G

YOLO V4

0.419 s

63.9 M

362.1G

YOLOV5-L

0.413 s

46.5 M

292.5G

YOLOX-L

0.454 s

54.2 M

397.8G

YOLO POD

0.462 s

54.2 M

394.9G

  1. All the models are tested at 1024 × 1024 resolution, and batch = 1 on 2080Ti
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Plant Methods

ISSN: 1746-4811