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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.
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Angular application with leaflet.js for visualization of private route data from de4l-private-routes-backend. Application communicate via REST with backend, so another backend could also provide data.
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Bachelor Thesis at Softwaresysteme Uni Leipzig
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Dies ist die dritte Aufgabe von WCM im Wintersemester 2020/2021. Abgabe erfolgte durch: Karim Rakia, Mohammed kheir Alawa, Mohamad Alshehabie
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