Fruits Classification and Detection Application Using Deep Learning

Table 7

Comparison of the proposed system with other existing works on FIDS-30 dataset.

References	Networks	Accuracies (%)	Other metrics
[28]	ResNet50	89.16	F1 score: 0.89
[29]	MobileNetv3	89.7
[30]	Inceptionv3	89.7
This work	YOLOv7	96.1	Precision: 0.93; recall: 0.89