GenetikaPlus/rnr_dataset_metadata_v1.9_validator

该数据集是一个关于神经元图像的研究数据集，包含了图像的索引、GFP标记、分割信息、RGB图像信息、图像的对比度、清晰度、神经元突触前后结构、神经元细胞体和突触的数量和面积等特征。此外，还包含了实验的元数据如实验时间、条件、样本的有效性评分等。数据集被划分为训练集，用于机器学习模型的训练。

This dataset is a collection of neuronal image research data, including features such as image index, GFP labeling, segmentation information, RGB image information, image contrast, sharpness, pre- and post-synaptic structures of neurons, the count and area of neuronal soma and synapses, etc. It also includes metadata of the experiment such as acquisition time, conditions, and sample validity scores. The dataset is split into a training set for machine learning model training.