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CelebV-HQ Dataset | Papersgraph

Datasets/

Videos

CelebV-HQ

Introduced in CelebV-HQ: A Large-Scale Video Facial Attributes Dataset2022

About this Dataset

CelebV-HQ is a large-scale video facial attributes dataset with annotations. CelebV-HQ contains 35,666 video clips involving 15,653 identities and 83 manually labeled facial attributes covering appearance, action, and emotion.

GitHub repository: https://github.com/celebv-hq/celebv-hq

Source: CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

Dataset Variants

CelebV-HQ

Papers1

CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

This work proposes a large-scale, high-quality, and diverse video dataset with rich facial attribute annotations, named the High-Quality Celebrity Video Dataset (CelebV-HQ), and conducts a comprehensive analysis in terms of age, ethnicity, brightness stability, motion smoothness, head pose diversity, and data quality.

Tasks

EDIT

Action Classification Facial Attribute Classification Unconditional Video Generation

Similar Datasets

COCO (Common Objects in Context)

LRW

GOT-10k

Statistics

Papers

Tasks

Introduced

2022

License

Custom (non-commercial, research purposes)

Modalities

Videos