AgirLabs/ReSolveSA

这是一个将钻芯托盘图像段与其对应的岩性和地球化学信息相连接的数据集，包含17,992个样本和31个特征，用于数据集成和机器学习应用，可以关联视觉矿物学特征与地球化学成分，构建预测化学或岩性的机器学习模型，以及执行跨域相关性分析。

This dataset is a merged collection linking image segments of drill core trays with their corresponding lithological and geochemical information, containing 17,992 samples and 31 features, designed for data integration and machine learning applications, capable of associating visual mineralogical features with geochemical compositions, building ML models to predict chemistry or lithology from imagery, and performing cross-domain correlation analysis.