This project is a demonstration. It uses a Support Vector Classification (SVC) and a Principal Component Analysis (PCA) to recognize a face. The process of the code is in the notebook name face_recognition.ipynb (./notebooks/face_recognition.ipynb)
The accuracy of the model is around 75% (The model is using small resolution images - with biger one, the accuracy is better)
- Name: Demo_Projects_ML_SVC_PCA_face_recognition_Benbhk
- Description: A Machine learning face recognition model
- Data Source: scikit-learn
- Personal page: https://inky-distance-393.notion.site/f8a4416f9dc64d9ab8c677a5a32ab03d