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Table 1 Accuracy results of the DAPD image segmentation algorithm on 4 public datasets and our dataset

From: Developmental normalization of phenomics data generated by high throughput plant phenotyping systems

Dataset

Accuracy (%)

Precision

Recall

Jaccard

Dice

A1

92.05 (3.65)

96.87 (4.81)

89.26 (4.43)

94.26 (2.59)

A2

90.90 (8.60)

97.45 (6.76)

88.83 (10.43)

93.71 (6.69)

A3

95.86 (5.14)

93.88 (14.48)

89.85 (13.85)

93.86 (10.97)

A4

94.89 (4.29)

98.37 (2.50)

92.56 (5.09)

96.06 (2.87)

Our dataset

96.05 (5.42)

98.57 (1.61)

93.29 (2.98)

96.58 (1.64)

Mean

93.95 (5.42)

97.03 (6.03)

90.76 (7.36)

94.90 (5.78)

  1. The numerical values in each cell represent the mean and standard deviation (in parentheses). The last row indicates the overall performance of our algorithm