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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