官方服务:
资源简介:
The original dataset
应用场景:
创建时间:
2025-11-26
相关数据集
VideoSet
A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed in [1]. Several small JND-based image/video quality datasets were released by the Me
Mendeley Data2024-01-31 更新880
VR Video Quality in the Wild
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140
LIVE-VQC (LIVE Video Quality Challenge (VQC) Database)
摄像技术、相机设计、压缩和处理协议、通信和带宽环境以及显示方面的巨大差异导致了各种各样的视频障碍。当前的无参考 (NR) 视频质量模型无法处理这种失真的多样性。这在一定程度上是正确的,因为可用的视频质量评估数据库包含非常有限的内容、固定的分辨率,是由少数摄像师使用少量相机设备捕获的,并且受到了适度的失真。因此,这些数据库无法充分代表真实世界的视频,这些视频包含在高度多样化的成像条件下获得的非常不同
OpenXLab120
VisionRewardDB-Video
VisionRewardDB-Video是一个为多维度AI生成视频质量评估设计的综合视频评估数据集。它包含21个不同维度的注释,涵盖文本到视频的一致性、美学质量、运动动力学、物理现实和技术规格等。数据集分为train、regression和monetbench三种配置,分别用于模型训练、标准化评估和性能评估。
Hugging Face2025-02-12 更新780
Authentically Distorted Surveillance Videos Dataset
This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three w
Mendeley Data2024-01-31 更新140



