Table 6 Performance comparison of APlight-YOLOv8n with other models.

From: A real-time mobile aquatic plant recognition algorithm based on deep learning for intelligent ecological monitoring

Model

Params

Model Size (MB)

FLOPs/G

mAP50/%

YOLOv5s

7.2

14.1

16.5

69.5

YOLOv8s

111.6↑

21.5

28.8↑

72.6

YOLOv3-Tiny

8.70

6.0

13.0

48.7↓

YOLOv5n

1.78↓

3.9↓

4.3↓

71.5

YOLOv7-Tiny

6.04

12.3

13.3

74.7

YOLOv10n

2.71

11.1

8.4

72.4

APNet-YOLOv8s

111.4

21.9↑

23.4

75.3↑

APlight-YOLOv8n

2.74

5.54

5.5

74.4

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