Visual Computing for Industry, Biomedicine, and Art

Table 2 Experimental dataset information

From: Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation

Classes	Number	Train set (70%)	Valid set (30%)
Paper	594	415	179
Glass	501	350	151
Plastic	483	338	145
Metal	410	287	123
Cardboard	403	282	121
Trash	137	96	41
Sum	2528	1768	760

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