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Multiclass semantic segmentation results are illustrated in Table four. Mainly because of the huge quantity of classes and course imbalance, the overall performance of multiclass semantic segmentation is less satisfactory. Pre-properly trained DeepLabV3 has shown the ideal efficiency amongst all styles. Additionally, weighted F1 scores are minimal