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. 2022 Jul 22;13:934450. doi: 10.3389/fpls.2022.934450

Table 5.

Performance comparison between the improved Mask R-CNN backbone and the original one on the Grape-A test set.

Backbone ResNet50-FPN ResNet50-FPN-ED
Box Seg Box Seg
AP 59.90 61.00 62.50 63.20
APIoU=0.5 81.90 84.70 82.80 86.20
APIoU=0.75 63.50 71.20 66.60 71.70
ARmax=1 17.40 17.00 17.80 17.30
ARmax=10 64.50 64.20 67.10 66.90
ARmax=100 68.10 68.30 71.00 70.60

The best one is highlighted in bold.