Just a simple face attractiveness ranker

1. Dependencies

• keras2.1.2
• face-recognition1.0.0

2. Dataset

SCUT-FBP5500 is a diverse benchmark database for multi-paradigm facial beauty prediction, which is collected by SCUT. You can download it from their github: https://github.com/HCIILAB/SCUT-FBP5500-Database-Release.

3. Preparing

In this step, a face encoding is extracted from each image and is associated with a label. I use pickle to dump it as training.pkl

4. Training

python3 train.py

Model would be saved as face_rank_model.h5

5. Evaluate

python3 evaluate.py

6. Predict

python3 predict.py

8. More face ranking projects

• https://github.com/fendouai/FaceRank