GasHisSDB is a New Gastric Histopathology Sub-size Image Database with a total of 245196 images. GasHisSDB is divided into 160x160 pixels sub-database, 120x120 pixels sub-database and 80x80 pixels sub
This dataset contains two folders. One folder contains images to be used for image classification and the other folder is used for semantic segmentation.
Real vs AI Corpus 是一个大规模的二分类图像数据集，专为训练AI图像检测器而设计。该数据集由Zitacron从17个公开的HuggingFace数据源流式合并而成，无需中间本地存储。数据集包含真实图像和AI生成图像两类，总规模在1000万到1亿之间。每个样本包含以下字段：image（PIL格式的RGB图像）、label（0表示真实图像，1表示AI生成图像）、label_text（"
