Proposing Algorithm Using YOLOV4 and VGG-16 for Smart-Education

Table 1

Evaluating parameters of CNN based on ImageNet dataset from Keras [5].

Network	Size of network (MB)	Accuracy	Parameter
VGG-16	528	0.9001	138,357,544
VGG-19	549	0.9000	143,667,240

VGG stands for the visual geometry group that has architecture with multiple layers. The number of layers with VGG-16 and VGG-19 is 16 and 19, respectively. VGG-16 data are shown in bold.