benjamin-paine/imagenet-1k-32x32

ImageNet是一个用于图像分类任务的大规模数据集，包含超过100万张图像，涵盖1000个类别。数据集的创建是通过众包方式完成的，语言为英语，且为单语种数据集。数据集的许可证为其他类型，使用该数据集需要遵守ImageNet的访问条款，仅限于非商业研究和教育目的。数据集的特征包括图像和标签，标签涵盖了从动物到日常物品的广泛类别。

ImageNet is a large-scale image classification dataset containing over 1 million images, divided into 1000 categories. These images are annotated by crowdsourced workers and are primarily used for multi-class image classification tasks. The dataset is in English, and the license type is other, indicating that specific access terms need to be followed. The dataset features include images and corresponding labels, where the label is a class label, containing names of multiple categories from tench to airship.