Table 3.

Total layers, output shape, and parameters of ensemble model.

Sr #	Layers	Output Shape	Parameters #
1	Input layers	224 × 224 × 3	0
2	VGG-16	7 × 7 × 512	14,714,688
3	EfficientNet-B2	7 × 7 × 1408	7,768,569
4	Concatenate	7 × 7 × 1920	0
5	Dropout	7 × 7 × 1920	0
6	Flatten	94,080	0
7	Batch normalization	94,080	376,320
8	Dense layer	256	24,084,736
9	Batch normalization	256	1024
10	Activation layer	256	0
11	Dropout	256	0
12	Batch normalization	256	1024
13	Dense layer	64	16,448
14	Batch normalization	64	256
15	Activation layer	64	0
16	Dense layer	4	260