厨余垃圾分类数据集

厨余垃圾分类数据集主要面向厨余垃圾组分识别任务需求，基于自研可见光相机产生，主要采集了厨余垃圾中典型的包括金属、玻璃、木竹、纸类、织物、塑料等19种厨余垃圾组分杂质，每一种样品包含200张图像，训练集和测试集各100张图像，数据量为30.4MB。The kitchen waste classification dataset is primarily designed for the task of kitchen waste component identification. It was collected using a self-developed visible light camera, and includes 19 typical types of kitchen waste component impurities such as metal, glass, wood and bamboo, paper, textiles, plastic, and other categories. Each category of sample contains 200 images, with 100 images allocated to the training set and the remaining 100 to the test set. The total data volume of the dataset is 30.4 MB.

搜集汇总

背景与挑战

背景概述

该数据集专为厨余垃圾组分识别任务设计，利用自研可见光相机采集了19种典型厨余垃圾杂质（如金属、玻璃、塑料等）的图像数据。每种杂质包含200张图像，其中训练集和测试集各100张，总数据量为30.4MB。