Satellite Road Segmentation UNet is a deep learning model designed for segmenting roads from satellite imagery. It utilizes a U-Net architecture, which is widely used for image segmentation tasks due to its ability to capture both local and global features effectively.
Training data from
https://www.kaggle.com/datasets/balraj98/massachusetts-roads-dataset?resource=download-directory1from road_seg_infer import ConvBlock, UNet, road_seg_infer_main, load_image, predict_mask, visualize_result
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3road_seg_infer_main(image_path = "infer_satellite_image.tiff") #change this to your image path
