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Table 2 Comparison of detection performance of our model (CNN) with our previous model [19] on the validation set

From: Automatic estimation of heading date of paddy rice using deep learning

Validation dataset

No. of images

Sliding window

Precision

Recall

F1-score

Dimensions

Stride

[19]

CNN

[19]

CNN

[19]

CNN

Kinmaze

15

\(140\, \times \,140\)

140

0.81

0.96

0.73

0.68

0.77

0.80

Kamenoo

15

\(160\, \times \,160\)

140

0.67

0.84

0.61

0.71

0.64

0.77

Koshihikari-1

15

\(160\, \times \,160\)

150

0.72

0.80

0.65

0.70

0.68

0.70

Koshihikari-2

15

\(160\, \times \,160\)

150

0.72

0.84

0.73

0.75

0.72

0.79

Koshihikari-3

15

\(160\, \times \,160\)

150

0.74

0.89

0.69

0.71

0.71

0.79