infinite-dataset-hub/ClassroomCleanup

ClassroomCleanup数据集是为了教育环境中的自动化废物检测任务而设计的。该数据集包含来自不同教室的图像集合，这些图像中包含各种类型的废物。每张图像都由教育工作者和清洁人员标注，他们识别和分类了废物材料，这使得机器学习模型能够训练以识别和分类教室环境中的废物。标签代表了教室内常见的废物类型，如纸张、塑料、食物等。

The ClassroomCleanup dataset is designed for the task of automated waste detection within educational settings. This dataset consists of a collection of images captured from various classrooms with different types of waste items present. Each image has been labeled by educators and cleaning staff who have identified and classified the waste materials, making it possible for a machine learning model to train on recognizing and categorizing waste in a classroom environment. The labels represent common types of waste found in classrooms such as paper, plastic, food, and others.