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Chazhoor et al. Intell Robot 2022;2:1-19 https://dx.doi.org/10.20517/ir.2021.15 Page 5

Table 1. The number of images corresponding to each class in the WaDaBa dataset [15]
Resin code Class type Number of images
1 PETE 2200
2 PE-HD 600
3 PVC 0
4 PE-LD 0
5 PP 640
6 PS 520
7 Other 40
PETE: Polyethylene terephthalate; PVC: polyvinyl chloride; PP: polypropylene, PS: polystyrene; PE-HD: high-density polyethylene; PE-LD: low-
density polyethylene.

Figure 2. Examples of different types of plastics from the WaDaBa dataset in Figure 1. (A) Class 1 representing PETE (polyethylene
terephthalate); (B) Class 2 representing HDPE (high-density polyethylene); (C) Class 5 representing PP (polypropylene); (D) Class 6
representing PS (polystyrene) ; (E) Class 7 representing Others [15] .

Figure 3. The architecture of AlexNet, having five convolutional layers and three fully connected layers. This figure is quoted with
permission from Han et al. [29] .

Figure 4. Architecture of Resnet-50-50. This figure is quoted with permission from Talo et al. [30] .