Garbage Image Dataset

The Garbage Image Dataset consists of images of garbage items collected from nearby localities using smartphones. The dataset is categorized into five different classes. Each category represents a specific type of garbage item commonly found in everyday waste. The purpose of the Garbage Image Dataset is to provide a collection of labelled images of garbage items from different categories. The dataset can be used to train and evaluate deep learning models for garbage classification tasks. By training models on this dataset, they can learn to classify real world images of garbage items into one of the predefined categories.

垃圾图像数据集包含从邻近地区通过智能手机收集的垃圾物品图像。该数据集被划分为五个不同的类别。每个类别代表日常生活中常见的一种特定垃圾物品。垃圾图像数据集旨在提供不同类别垃圾物品的标记图像集合。该数据集可用于训练和评估用于垃圾分类任务的深度学习模型。通过在此数据集上训练模型，它们能够学会将现实世界中的垃圾物品图像分类到预定义的类别之一。