LSVQ-videos / README.md
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metadata
license: mit
task_categories:
  - video-classification
tags:
  - video quality assessment

This is an unofficial copy of the videos in the LSVQ dataset (Ying et al, CVPR, 2021), the largest dataset available for Non-reference Video Quality Assessment (NR-VQA); this is to facilitate research studies on this dataset given that we have received several reports that the original links of the dataset is not available anymore.

See FAST-VQA (Wu et al, ECCV, 2022) or DOVER (Wu et al, ICCV, 2023) repo on its converted labels (i.e. quality scores for videos).

The file links to the labels in either of the repositories above are as follows:

--- examplar_data_labels
--- --- train_labels.txt (this is the training set labels of LSVQ)
--- --- LSVQ
--- --- --- labels_test.txt (this is the LSVQ_test test subset)
--- --- --- labels_1080p.txt (this is the LSVQ_1080p test subset)

It should be noticed that the copyright of this dataset still belongs to the Facebook Research and LIVE Laboratory in UT Austin, and we may delete this unofficial repo at any time if requested by the copyright holders.