该数据集名为Color Vision Test Dataset，由中国科学院大学、中国科学院、浙江实验室、浙江大学的研究人员创建，旨在评估大型视觉语言模型在颜色视觉方面的能力。数据集包含了5450个颜色视觉测试图像，涵盖了数字、动物、形状、字母或字符、物体五大类，并分为容易和困难两个任务级别。数据集的创建过程严格，采用了Daltonlens工具包生成图像，并通过Coblis工具评估图像质量。数据集
We aimed to compare the Ishihara pseudoisochromatic colour vision test with a colour vision test from a popular smartphone application (EyeHandBook [EHB]) using digital image processing to simulate co
Objective To evaluate the diagnostic performance of Ultra-Low-Dose Chest CT (ULD CT) for the detection of any asbestos-related lesions (primary endpoint) and specific asbestos-related abnormalities, i
Evaluation of pre-employment health conditions among young people. Anamnesis on past illness and physical disorders / medical examination detailed data on physical condition....
