Table 4.

Performance of various CNN architectures on TrashNet dataset.

Reference	Classes used from TrashNet	Architecture	Accuracy reported (%)
Hulyalkar et al. (2018)	Metal, glass, paper, plastic	3 convolutional layers with max-pooling, 2 fully connected layers	84
Bircanoğlu et al. (2018)	All classes	RecycleNet	81
Shi et al. (2021)	All classes	MLH-CNN	92.6
Aral et al. (2018)	All classes	MobileNet	84
		Xception	82
		Inceptionv4	94
		DenseNet	95
Adedeji and Wang (2019)	Metal, glass, paper, plastic	ResNet50 + SVM	87
Ruiz et al. (2019)	All classes	VGG-19	79.3
		Inception	87.71
		ResNet	88.66
Vo et al. (2019)	All classes	Densenet121_Aral	91
		ResNext-10	90
		RecycleNet	68
		ResNet_Ruiz	72
		DNN-TC	94

CNN: convolutional neural network; MLH-CNN: multilayer hybrid convolution neural network; SVM: support vector machine.