MSU压缩数据集旨在评估全参考和无参考视频质量指标。该数据集公开了全部6,240个视频中的1,962个，其余部分仅用于基准测试支持人员评估指标性能。所有视频主要为FullHD分辨率，YUV420格式，时长10-15秒，帧率包括24、25、30、39、50和60。数据集提供了主观质量评分（MOS、Bradley-Terry、ELO），评分越高表示质量越好。数据集包含以下内容：1) Subjectiv

Hugging Face2026-03-10 更新340

Text prompts and videos generated using 5 popular Text-to-Video models plus quality metrics including user quality assessments

文本到视频生成

视频质量评估

A collection of 201 prompts which are used to generate short-form videos using 5 popular text-to-video models namely Tune-a-Video, VideoFusion, Text-To-Vudeo Synthesis, Text2Video-Zero and Aphantasia.

Mendeley Data2024-04-06 更新130

Shakiness-QuAD

视频质量评估

震动分析

"ASSESSING VIDEO SHAKINESS: A NOVEL DATA AND PROTOCOLS FRAMEWORK" IEEE ICIP 2024: Shakiness-QuAD is a dataset that investigate subjective video shakiness assessment. It contains 30 shaky videos cover

DataCite Commons2025-05-01 更新580

VR Video Quality in the Wild

虚拟现实

视频质量评估

Investigating how people perceive virtual reality videos in the wild (i.e., those captured by everyday users) is a crucial and challenging task in VR-related applications due to complex authentic dist

DataCite Commons2023-11-21 更新150