AAI_2025_Capstone_Chronicles_Combined

resources, we tested different sizing configurations for the images and ultimately resized all the images to 1024×1024 pixels prior to training.

By standardizing our label space and curating a cleaner, more balanced dataset, we created more favorable learning conditions for both of our CNN models. These steps helped mitigate overfitting to dominant classes, improved recall on rare categories, and reduced noise introduced by uncertain or ambiguous label annotations.

Fig 1. Multilabel classifications (after reducing to 7 classes)

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