We also provide two sample datasets including the video files and the properly formatted dataset files in Python. They can be used as sample datasets to train and test custom VMAF models.
We provide a dataset publicly available to the community for training, testing and verification of results purposes. The dataset file is at NFLX_dataset_public.py, and the videos (in YUV420P format) can be downloaded here.
We also provide an example dataset file containing video file names from VQEG (Video Quality Expert Group) HD3 videos. The dataset file is at VQEGHD3_dataset.py, and the videos is available for downloading from http://www.cdvl.org/. After login, choose menu 'find videos', and search use keyword 'vqeghd3'. The dataset file includes from src01 to src09 except for src04, which overlaps with the Netflix Public Dataset, and hrc04, hrc07, hrc16, hrc17, hrc18, hrc19, hrc20 and hrc21, which are the most relevant distortion types to adaptive streaming. After downloading the videos, convert them to YUV420P format.