KiViDrag/bloodmnist_30

该数据集包含图像和标签两种特征。图像特征的数据类型为图像，标签特征的数据类型为类别标签，具体包括8种不同类型的细胞标签：嗜碱性粒细胞、嗜酸性粒细胞、成红细胞、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。数据集分为一个训练集，包含107,631个样本，总大小为251,262,097.125字节。下载大小为266,153,574字节。

This dataset is primarily used for image classification tasks, containing images and corresponding classification labels. The labels cover 8 different types of blood cells, namely basophil, eosinophil, erythroblast, immature granulocytes (including myelocytes, metamyelocytes, and promyelocytes), lymphocyte, monocyte, neutrophil, and platelet. The dataset includes only a training set with 107631 samples, and the total size of the dataset is 251262097.125 bytes.