tkhangg0910/brain_data_split_v1

该数据集是一个包含医学影像数据及相关标注信息的集合，主要用于痴呆症相关研究。数据集包含患者ID、幻灯片信息、交付物、医生信息、归一化的边界框坐标、多语言问题与答案、原始图像、多种类型的掩码图像以及标签列表等特征。数据集分为训练集（1000个样本）和测试集（542个样本），并提供了详细的类别分布统计信息，包括状态分布、GCA分布、Koedam分布、MTA分布、标签分布、空样本数量、带边界框的样本数量、每类边界框数量、掩码存在情况以及边界框统计信息等。

This dataset is a collection of medical imaging data and related annotations, primarily used for dementia-related research. The dataset includes features such as patient ID, slide information, deliverables, doctor information, normalized bounding box coordinates, multilingual questions and answers, original images, various types of mask images, and label lists. The dataset is divided into a training set (1000 samples) and a test set (542 samples), and provides detailed statistical information on category distributions, including status distribution (non-dementia, moderate-dementia, mild-dementia), GCA distribution, Koedam distribution, MTA distribution, label distribution, number of empty samples, number of samples with bounding boxes, number of bounding boxes per class, mask presence, and bounding box statistics.