Datasets › iQIYI-VID-2019

iQIYI-VID-2019

10 May 2019 archive 2025-07-28

iQIYI-VID-2019 dataset is the first video dataset for multi-model person identification. This dataset aims to encourage the research of multi-modal based person identification. To get close to real applications, video clips are extracted from real online videos of extensive types. All the clips are labeled by human annotators, and use automatic algorithms to accelerate the collection and labeling process. The iQIYI-VID-2019 dataset is more challenging comparing to the iQIYI-VID-2018 dataset, since most hard examples are selected from iQIYI-VID-2018 while more person ids is added. The dataset contains 100K~200K video clips, divided into three parts, 40% for training, 30% for validation, and 30% for test. The dataset contains about 10, 000 identities, 5,000 of which come from the iQIYI celebrity database and mainly extracts from iQIYI-VID-2018.

Source: 2019 iQIYI Celebrity Video Identification Challenge

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • iQIYI-VID-2019

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections