The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …
time random-forest tensorflow numpy linear-regression model-selection neural-networks pca svm-classifier knn-classification face-classifier sklearn-estimator sklearn-tensorflow-ml matplotlib-pyplot logist one-hot-encoding olivitti-faces-dataset sklearn-decomposition sklearn-accuracy
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Updated
Nov 26, 2019 - Jupyter Notebook