Multiclass semantic segmentation effects are illustrated in Table 4. Due to substantial amount of courses and class imbalance, the overall performance of multiclass semantic segmentation is much less satisfactory. Pre-trained DeepLabV3 has revealed the ideal efficiency amid all designs. Moreover, weighted F1 scores are also low thanks to class imbalance https://roydawson55433.life3dblog.com/32066698/5-simple-techniques-for-gis-mapping-drone-bangladesh