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数据集包含6种垃圾，分别为cardboard(纸箱)，glass(玻璃)、metal(金属）、paper(纸）、plastic(塑料）、其他废品(trash),数据数量较小，仅供学习。
数据集标准备工作，包括将数据集分为训练集和测试集，制作标签文件。代码utils.py
import os import shutil import json
path="e://dataset//Garbage_classification"#此路径为上图中六类的目录，可根据自己数据集路径修改
classes=[garbage for garbage in os.listdir(path)] if
os.path.exists(os.path.join(os.getcwd(),'train'))==False:
os.makedirs(os.path.join(os.getcwd(),'train')) if
os.path.exists(os.path.join(os.getcwd(),'val'))==False:
os.makedirs(os.path.join(os.getcwd(),'val')) f = open("garbage_train.json",
'w') g = open("garbage_val.json", 'w') for garbage in classes: s = 0 for
imgname in os.listdir(os.path.join(path,garbage)):
