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Multiclass semantic segmentation results are illustrated in Desk four. As a result of massive quantity of lessons and class imbalance, the performance of multiclass semantic segmentation is less satisfactory. Pre-properly trained DeepLabV3 has shown the most beneficial functionality among the all designs. Also, weighted F1 scores may also be lower
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