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/ eXplainable-AI-for-Image-Classification-on-Remote-Sensing
This repository provides the training codes to classify aerial images using a custom-built model (transfer learning with InceptionResNetV2 as the backbone) and explainers to explain the predictions with LIME and GradCAM on an interface that lets you upload or paste images for classification and see visual explanations.
deep-learning explainable-ai gradcam gradio-interface image-classification lime neural-network remote-sensing satellite-image-classification tensorflow transfer-learning visual-explanations splime
Language:Jupyter Notebook 2

/ eXplainable-AI-for-Image-Classification-on-Remote-Sensing