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Table 3 Results using YOLO models trained with different datasets (D1 is the original dataset, D2 is D1 augmented using flips; D3 is D1 augmented using blurring, gamma correction and equalisation; and D4 is the combination of D2 and D3) for the stomata dataset

From: CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

 

Precision

Recall

F1-score

TP

FP

FN

IoU

D 1

0.97

0.61

0.75

591

21

374

0.75

D 2

0.97

0.88

0.92

852

26

113

0.81

D 3

0.95

1.00

0.97

961

52

4

0.79

D 4

0.99

0.90

0.94

869

12

96

0.83

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BMC Bioinformatics

ISSN: 1471-2105

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