preetsojitra/binary-2K-samples-skin-lesion-HM10000
收藏Hugging Face2025-10-18 更新2025-10-25 收录
下载链接：
https://hf-mirror.com/datasets/preetsojitra/binary-2K-samples-skin-lesion-HM10000
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资源简介：
DermAI工作坊平衡二分类皮肤病变数据集是一个修改版的HAM10000数据集，专门为DermAI：构建AI驱动的皮肤病变分类器工作坊的教育目的而准备。该数据集将原始数据集的7个类别处理为两个二分类别：良性(Benign)和恶性(Malignant)。数据仓库包括一个包含2K原始图像的训练集和一个具有二进制标签的测试集。
The DermAI Workshop Balanced Binary Skin Lesion Dataset is a modified version of the HAM10000 dataset, prepared specifically for educational purposes for the DermAI: Building an AI-Powered Skin Lesion Classifier workshop. The dataset has been processed into two binary classes: Benign and Malignant from the original seven classes of skin lesions. The repository includes a training set with 2K original images and a test set with binary labels.
提供机构：
preetsojitra
