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README.md
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---
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license: other
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task_categories:
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- image-classification
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- image-regression
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task_ids:
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- facial-beauty-prediction
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language:
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- en
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tags:
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- beauty-prediction
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- face-analysis
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- facial-beauty
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pretty_name: SCUT-FBP5500
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size_categories:
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- 1K<n<10K
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---
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# SCUT-FBP5500 Dataset
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## Dataset Description
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The SCUT-FBP5500 dataset is a diverse benchmark for facial beauty perception test. It includes 5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) which are rated with beauty scores ranging from [1, 5] by 60 volunteers.
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### Dataset Summary
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- **Number of instances**: 5500 facial images
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- **Demographic breakdown**:
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- 2000 Asian females
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- 2000 Asian males
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- 750 Caucasian females
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- 750 Caucasian males
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- **Beauty scores**: Range from 1 to 5 (average of 60 raters)
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- **Facial landmarks**: 86 landmarks per face
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## Dataset Structure
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- `image`: The facial image
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- `beauty_score`: Beauty score (average rating from 60 volunteers)
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- `race`: Race of the person (Asian or Caucasian)
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- `gender`: Gender of the person (Male or Female)
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- `image_name`: Original image filename
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- `has_landmarks`: Whether facial landmarks are available for this image
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## Dataset Splits
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The dataset provides:
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- Standard 60/40 train/test split
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- 5-fold cross-validation splits (available in the original dataset)
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## Citation
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```
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@article{liang2017SCUT,
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title = {SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction},
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author = {Liang, Lingyu and Lin, Luojun and Jin, Lianwen and Xie, Duorui and Li, Mengru},
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jurnal = {ICPR},
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year = {2018}
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}
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```
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## License
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The dataset was collected for research purposes. Please contact the original authors for commercial use.
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## Source
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This dataset was created by South China University of Technology.
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For any questions about this database, please contact the authors by sending email to lianwen.jin@gmail.com and lianglysky@gmail.com.
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