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Multiclass semantic segmentation outcomes are illustrated in Desk 4. Due to the significant variety of classes and class imbalance, the general performance of multiclass semantic segmentation is fewer satisfactory. Pre-properly trained DeepLabV3 has revealed the most effective general performance between all models. Additionally, weighted F1 score