Developing a robust cross-domain segmentation pipeline by adapting models trained on Cityscapes to perform on the IDD (India Driving Dataset). Built a supervised baseline using DeepLabV3+, followed by unsupervised domain adaptation using DAFormer with techniques like feature alignment, style transfer, and adversarial training. Applied iterative pseudo-label refinement to improve performance on unstructured road scenes. Achieved significant mIoU gains, with detailed visualization and class-wise IoU analysis for both datasets.