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Each face is 60x70 and from the Berkeley classification project which took the photos from the Cal-tech 101 data set. There are 451 training images, 150 test images, and 301 Validation images. Perceptron, Naive Bayes, and KNN are used for classification.

Python 100.00%
image-recognition knn-classification machine-learning naive-bayes-classifier perceptron python3 sklearn

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