This competition aims to introduce participants to the development of image classification models. To achieve this, you must complete the base code to implement the use of multiple classifiers and feature extraction functions. Using your implementation, you must train your models on the pollen dataset available on Moodle and subsequently generate labels for the test set. You must upload the file containing your predicted labels to this Kaggle competition, where you will receive a measure of the achieved accuracy. A portion of your grade for this assignment will be determined proportionally based on the highest score obtained by any participant in this competition.