FC Bayern Face Recognation

A Bayern Munich Players dataset Collected from Google

The data contains 5 Bayern Munich players and each player has about 100 random raw images collected from Google after cleaning the data each player got around from 30 to 60 images
so our data have 5 classes:

• Kingsley Coman -> class 0
• Joshua Kimmich -> class 1
• Robert Lewandowski -> class 2
• Manuel Neuer -> class 3
• Leory Sane -> class 4

The Data contains 230 rows and 4097 Columns
4096 Features are the Pixels of the Images and the Last Column is the target column including the class for each row
Data is already Cleaned, Preprocessed and Scaled

Apply machine and deep learning algorithms to the data and build a face recognition system that Recognizes any image of these five players