SEAGULL-100w是一个大规模合成的基于感兴趣区域（ROI）的图像质量评估（IQA）数据集，用于“SEAGULL：通过视觉-语言指令调优的无参考图像质量评估”。该数据集包含六种不同类型的失真图像，分别是模糊、锐度、曝光、对比度、色彩丰富度和压缩。每种失真类型有二十个不同的参数，总共生成978,720张失真图像。数据集结构包括失真图像、参考图像和标签，标签中提供了ROI的语义描述和对象语义。

Hugging Face2024-11-25 更新110

ziyu3141/rf_train_100_7

成像质量评估

图像美学

该数据集包含多个特征，如文件名、美学评分、瑕疵评分、对齐评分、总体评分、瑕疵热图、对齐热图、对齐标记、提示、首选图像和非首选图像。数据集分为训练集，包含90个样本。数据集的大小为595277042字节，下载大小为29682411字节。

Hugging Face2024-12-08 更新50

VCL@FER image quality assessment database

成像质量评估

图像处理

VCL@FER database consists of 575 images, 23 out of which are originals, with 4 different degradation types per image and 6 degrees of degradation. The degradation types are: JPEG2000, JPEG, Gaussian n

www.vcl.fer.hr130

Number of Artifactual datasets by each of the two T1w/T2w and R1 protocols which had been visually inspected.

MRI伪影检测

成像质量评估

Number of Artifactual datasets by each of the two T1w/T2w and R1 protocols which had been visually inspected.

NIAID Data Ecosystem90