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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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+
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+ # SCUT-FBP5500 Dataset
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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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+ ## Dataset Structure
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+
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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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+
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+ ## Dataset Splits
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+
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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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+
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+ ## Citation
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+
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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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+
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+ ## License
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+
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+ The dataset was collected for research purposes. Please contact the original authors for commercial use.
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+
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+ ## Source
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+
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+ This dataset was created by South China University of Technology.
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+
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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.