https://github.com/wanshun123/Facial-Beauty-Prediction

Simple website interface built using Flask that allows users to upload selfies to be rated out of 10 by a machine learning model trained on the SCUT-FBP5500 dataset. Currently inactive (took down due to AWS hosting fees)
https://github.com/wanshun123/Facial-Beauty-Prediction

flask image-classification image-processing machine-learning

Last synced: 3 months ago
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Simple website interface built using Flask that allows users to upload selfies to be rated out of 10 by a machine learning model trained on the SCUT-FBP5500 dataset. Currently inactive (took down due to AWS hosting fees)

• Host: GitHub
• URL: https://github.com/wanshun123/Facial-Beauty-Prediction
• Owner: wanshun123
• License: mit
• Created: 2018-08-15T01:02:08.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-11T09:48:30.000Z (over 6 years ago)
• Last Synced: 2024-08-01T23:30:37.761Z (6 months ago)
• Topics: flask, image-classification, image-processing, machine-learning
• Language: Python
• Homepage: http://fbp.dataanalysis.world/
• Size: 259 KB
• Stars: 10
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Facial Beauty Prediction

Simple website interface built using Flask that allows users to upload selfies to be rated out of 10 by a machine learning model trained on the SCUT-FBP5500 dataset (https://github.com/HCIILAB/SCUT-FBP5500-Database-Release). See model_train_example.py for the script used to train the model, which can definitely be improved. 

To run yourself:

```

python flask_server.py

```