KiViDrag/bloodmnist_75

该数据集包含图像和标签两种特征，标签类别包括8种不同类型的细胞：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、前髓细胞和早幼粒细胞）、淋巴细胞、单核细胞、中性粒细胞和血小板。数据集包含一个训练集，共有107,631个样本，总大小为247,636,820.125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 a total of 107631 samples.