The relevant data of a batch of glass artifacts

The data contains the glass type, emblazonry, colors, weathering states and component proportion of surface sampling points of a batch of glass artifacts. The data also contains the unweathered component proportion of weathered glass artifacts predicted by machine learning algorithms. The data also includes the training process of the machine learning algorithms and the final model parameters, as well as the available trained models.

本数据集涵盖一批玻璃文物的表面采样点对应的玻璃类型、纹饰、色彩、风化状态及成分占比；同时包含经机器学习算法预测得到的风化玻璃文物的未风化成分占比；此外还附带所用机器学习算法的训练流程、最终模型参数，以及已训练完成的可用模型。