Lab4 Wiki

I used 10 categories each one contains 5 picture. the categories includes: Coffe, Dance, Drinks,Fruit, Kebab, Music, Omelet, Pizza, Rice, Spaghetti Explanations

It uses pictures in training folder for training, firstly it extract key descriptor via SIFT method, then clustering them with K-Means algorithm. the center of our cluster will be used for visual words, Then create a histogram based on these words, after that, train the image clasifier, here we used random forest, with these words, These steps will be done for every image to make the training data,

Finally test the accuracy of our model with the images in test folder