Waste Classification 可回收物及生活垃圾分类数据集

该数据集包含 15,000 张图像（每张 256×256 像素），涵盖 30 个不同类别的各种可回收材料、一般垃圾和家居用品。该数据集每个类别有 500 张图像，每个子类别有 250 张图像，为垃圾分类和回收领域的研究和开发提供了丰富多样的资源。通过提供大量高质量图像，该数据集旨在支持创建强大而准确的垃圾分类和分类系统。

This dataset contains 15,000 images, each with a resolution of 256×256 pixels, covering 30 distinct categories of various recyclable materials, general waste, and household items. Each primary category includes 500 images, while each sub-category within the primary categories contains 250 images, serving as a rich and diverse resource for research and development in the field of waste classification and recycling. By providing a substantial number of high-quality images, this dataset is designed to support the creation of robust and accurate waste classification and sorting systems.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于垃圾分类的图像数据集，包含15,000张256×256像素的图像，覆盖30个类别如塑料、纸张、玻璃等，每个类别有500张图像，并分为'default'标准图像和'real_world'现实场景图像两个子集。它旨在支持机器学习模型的开发和训练，以实现自动垃圾分类，适用于研究和实际应用场景。