Anime Classification

[maskboyAvi]

Dataset to be used : Anime_dataset.zip ( Link )

About Dataset:

1. It have two folders test and train.
2. Each train and test have 229 folders named with their respective "anime" names.
3. Inside each anime folder are some images of that respective anime.

Task :

1. Create an Image Classification model which takes any image as an input and outputs the anime (Out of 229 provided) name.
2. Train the model on the train dataset provided
3. Evaluate model on test folder and show accuracy and f1 score.

Note1: Clearly mention accuracy and f1 score in PR as well.

Note2: If dataset is large to train, reduce the training dataset by removing some images from each folder. Do not reduce number of classes, i.e. , do not delete any folders to reduce dataset.

Submission Format: Colab file with all outputs shown clearly.