I have Collected a certain data from google, I collected 100 random pictures of 5 players from Bayern Munich Team, In this Repo, I showed how I collected the data and then applied the Data Cleaning, Preprocessing, Feature Scaling and Feature Engineering, Applying these process to this raw images to get the data ready for modeling using Machine and deep Learning Algorithms
So Our data is Classification Problem, We have 5 Classes:
Class 0 -> Kingsely Coman
Class 1 -> Joshua Kimmich
Class 2 -> Robert Lewandowski
Class 3 -> Manuel Neuer
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Class 4 -> Leory Sane
You can use the data directly after cleaning, preprocessing, scaling and feature engineering from these link I already Uploaded it on Kaggle: https://www.kaggle.com/eyadgk/fc-bayern-face-recognation