Table 3.

Number of training and test datasets and test accuracy of models

Model	Number of training datasets	Number of test datasets	Accuracy
			Precision (%)	Recall (%)	F1-score
ENVINet5	1125	320	81.9	80.2	0.81
Mask R-CNN	1277	320	87.3	85.2	0.87