Good/Bad data set

Name: Good/Bad data set
Creator: Zhenxing Zhang; University of Groningen
Published: 2022-01-14T00:00:00+08:00

Zenodo2022-01-14 更新2026-04-07 收录

成像质量评估

合成样本质量

数据链接：

https://zenodo.org/record/5850223 数据链接链接失效反馈

官方服务：

资源简介：

The Good/Bad data set is used for the image-quality research, containing unsuccessfully and successfully synthetic samples.

提供机构：

Zhenxing Zhang; University of Groningen

创建时间：

2022-01-14

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

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

Zevin2023/SEAGULL-100w

成像质量评估

无参考评估

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

DR IQA Database V1

成像质量评估

退化参考图像

In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely available at most q

ieee-dataport.org70

Good/Bad data set

资源简介：

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