Hyperspectral-Classification
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Prediction vs test_gt
I am encountering an issue with the prediction versus test_gt (labels border are eliminated) for the 'Sharma' and 'Chen' models in my project. The predictions seem to be inconsistent or incorrect compared to the ground truth labels.
I expect the model to generate a full prediction image that includes the border labels, accurately capturing the entire image.
I haven't seen it for a long time. Maybe it's because the test dataset is only part of the labeled data.