KiViDrag/bloodmnist_10

该数据集包含图像和标签两个主要特征。图像特征的数据类型为图像，标签特征的数据类型为分类标签，具体包括8种不同的细胞类型：嗜碱性粒细胞、嗜酸性粒细胞、红细胞、未成熟粒细胞（包括髓细胞、晚幼粒细胞和早幼粒细胞）、淋巴细胞、单核细胞、中性粒细胞和血小板。数据集仅包含一个训练集，包含107,631个样本，总大小为216,569,007.125字节，下载大小为229,236,967字节。

This dataset is primarily used for image classification tasks, containing images and corresponding classification labels. The image feature represents the morphology of cells, and the label feature is used to classify different types of cells, including basophil, eosinophil, erythroblast, immature granulocytes (myelocytes, metamyelocytes, and promyelocytes), lymphocyte, monocyte, neutrophil, and platelet. The dataset has only one training set split, containing 107631 samples, with a total size of 216569007.125 bytes.