Model Generalization Challenges
Daniel discusses the careful architecture design he employed to prevent overfitting when applying his model to a new dataset from Google Earth. He shares insights on using penalization techniques and dropping noisy data to enhance generalization. Visual inspections of the model's segmentation reveal promising results, with accurate delineations of parking lots and residential areas, suggesting effective performance despite the lack of a ground truth for evaluation.In this clip
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