Table 2 Mean absolute errors (MAE) and mean squared errors (MSE) for maize tassels counting on the test set of MTC dataset
From: Maize tassels detection: a benchmark of the state of the art
Method | Sequences | Overall | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Â | Zhengzhou2011 | Taian2010_2 | Taian2011_2 | Taian2012_2 | Taian2013_2 | Gucheng2014 | Jalaid2015_2 | Jalaid2015_3 | Â | Â | ||||||||
| Â | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE |
JointSeg | 20.9 | 23.2 | 46.6 | 47.9 | 16.4 | 19.7 | 25.1 | 29.8 | 6.5 | 8.0 | 7.3 | 10.5 | 27.8 | 29.1 | 53.2 | 61.3 | 24.2 | 31.6 |
mTASSEL | 9.8 | 14.9 | 18.6 | 22.1 | 11.6 | 12.7 | 5.3 | 7.8 | 13.1 | 16.6 | 31.1 | 35.3 | 16.2 | 18.0 | 46.6 | 51.0 | 19.6 | 26.1 |
GlobalReg | 19.0 | 21.5 | 23.0 | 24.7 | 14.1 | 16.8 | 13.5 | 15.7 | 19.6 | 25.2 | 19.5 | 21.7 | 11.2 | 13.7 | 42.1 | 45.4 | 19.7 | 23.3 |
DensityReg | 16.1 | 20.2 | 9.9 | 10.7 | 9.2 | 11.7 | 10.8 | 12.7 | 20.2 | 23.7 | 9.4 | 10.5 | 7.2 | 7.9 | 23.5 | 26.9 | 11.9 | 14.8 |
CCNN | 21.3 | 23.3 | 28.9 | 31.6 | 12.4 | 16.0 | 12.6 | 15.3 | 18.9 | 23.7 | 21.6 | 24.1 | 9.6 | 12.4 | 39.5 | 46.4 | 21.0 | 25.5 |
TasselNet | 4.9 | 6.1 | 5.2 | 6.6 | 2.5 | 2.9 | 4.8 | 5.8 | 4.0 | 5.0 | 5.3 | 6.5 | 16.0 | 16.6 | 20.7 | 25.2 | 6.6 | 9.6 |
\(\hbox {TasselNet}^*\) | 3.0 | 3.4 | 3.2 | 4.2 | 3.2 | 3.7 | 5.2 | 7.1 | 3.5 | 4.8 | 3.4 | 4.0 | 18.3 | 19.2 | 16.3 | 19.8 | 5.4 | 8.4 |
FaceBoxes | 7.3 | 8.4 | 3.7 | 4.4 | 3.3 | 4.2 | 3.3 | 4.4 | 4.9 | 6.3 | 4.1 | 6.1 | 18.5 | 19.2 | 19.3 | 22.1 | 6.4 | 9.4 |
YOLOv3 | 4.3 | 5.7 | 5.0 | 6.6 | 2.9 | 3.9 | 3.0 | 4.0 | 4.5 | 6.0 | 2.3 | 2.8 | 20.3 | 21.7 | 24.1 | 25.9 | 6.1 | 9.9 |
RetinaNet | 3.3 | 4.3 | 5.6 | 6.4 | 4.4 | 6.6 | 3.3 | 4.0 | 3.1 | 4.0 | 4.2 | 5.1 | 7.6 | 8.1 | 26.5 | 32.9 | 5.9 | 10.7 |
Faster R-CNN | 2.6 | 3.1 | 3.2 | 4.0 | 2.9 | 3.4 | 2.6 | 3.2 | 3.6 | 4.4 | 7.6 | 9.0 | 8.6 | 9.6 | 21.3 | 25.5 | 5.8 | 8.9 |