This folder contains the work for our final project of the EML Proseminar. The project is about classifying different types of fruit based on their images (:arrow_right: **multi-class image classification**)
@@ -165,7 +165,7 @@ CNNs are composed of multiple layers, including convolutional layers, pooling la
The CNN model is expected to outperform the baseline models and the basic classifiers (Naive Bayes, Decision Trees, and Random Forest) due to its higher capacity to learn complex features from images. CNNs are particularly effective for image classification tasks, and we anticipate that our CNN model will achieve the highest accuracy among all the models we've implemented.
