This project deals with the task "Image Classification for Argumentation" for the Touché 2023 dataset. It attempts to
classify argumentative images into a relevant topic using extracted annotation labels from the computer vision APIs
Google Cloud Vision and Clarifai. For this purpose, the results of different classification models are compared with
each other. Our approach follows the AVCA framework of Araujo et al.