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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] .
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