kaczyniec/pyroptosis_3d_crops2

该数据集是一个用于图像分类任务的数据集，主要包含细胞图像数据及其相关标签信息。图像数据以5x3x64x64的float32数组形式存储，标签分为Negative（阴性）和Pyroptosis（细胞焦亡）两类。此外还包含实验信息、子文件夹路径、时间戳、坐标位置、实验条件和原始标签等辅助信息。数据集共包含23,740个训练样本，总大小约为5.93GB。

This dataset is designed for image classification tasks, primarily containing cellular image data and their corresponding labels. The image data is stored as 5x3x64x64 float32 arrays, with labels categorized into Negative and Pyroptosis. Additional metadata includes experiment information, subfolder paths, timestamps, coordinate positions, experimental conditions, and original labels. The dataset consists of 23,740 training examples with a total size of approximately 5.93GB.