Fig. 2 | Scientific Reports

Fig. 2

From: Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques

Fig. 2

Architectures of deep learning algorithms used for waste sorting. a) Raw image captured from an industrial camera; b) SAM architecture; c) SAM outputs for a single detected object; d) EfficientSAM architecture; e) FasterSAM architecture; f) Cropped waste object; g) MobileNetV2 architecture; h) Sample image of municipal waste; i) SAM output for the considered sample image; j) Cropped waste objects from the considered sample image.

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