AG2307/pengwin-2026-anatomy-segmentation-femur

该数据集是一个医学图像数据集，包含图像数据（以浮点数组形式存储）、标签（以无符号整数数组形式存储）、患者ID（字符串）、原始间距（浮点数组）、原始形状（整数数组）和原始仿射矩阵（浮点数组）。数据集分为训练集（544个示例）和验证集（34个示例），总下载大小约为8.56 GB，数据集大小约为5.35 GB，可能用于医学图像分析任务，如分割或分类。This dataset is a medical imaging dataset containing image data (stored as float arrays), labels (stored as unsigned integer arrays), patient IDs (strings), original spacing (float arrays), original shape (integer arrays), and original affine matrices (float arrays). It is split into a training set (544 examples) and a validation set (34 examples), with a total download size of approximately 8.56 GB and a dataset size of approximately 5.35 GB, likely intended for medical image analysis tasks such as segmentation or classification.