Smartphone Colorimetric Sensor for Salivary Uric Acid µPad dataset

This is the dataset related to the article "Machine-learning-based Colorimetric Sensor on Smarthone for Salivary Uric Acid Detection". The dataset contains two types of images. The first type is the full-sized image captured by the sensor, which is used to evaluate the performance of the ROI detection. The second type is the reaction area from artificial saliva and clinical samples, which is used to train and test machine-learning models.

本数据集与论文《基于机器学习的智能手机色度传感器用于唾液尿酸检测》相关。数据集包含两种类型的图像。第一种为传感器捕获的全尺寸图像，用于评估感兴趣区域（ROI）检测的性能。第二种为人工唾液和临床样本的反应区域图像，用于训练和测试机器学习模型。