Semantic segmentation of aerial imagery into 5 land-cover classes - 0.72 mIoU on LandCover.ai with a pretrained EfficientNet-B0 U-Net and Gradio demo.
computer-vision deep-learning pytorch gradio semantic-segmentation kaggle-dataset unet-image-segmentation efficientnetb0 aerial-image-segmentation molab droneimaginery
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Updated
Aug 13, 2026 - Jupyter Notebook