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terrain-classification

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This method uses unsupervised and soft self-supervision for auditory Martian terrain classification , based on data from the Perseverance Rover. Next Up, we plan to make this system completely self-supervised with martian terrain images

  • Updated May 18, 2023
  • Python

Deep learning-based terrain classification on the DeepSat-6 dataset using Custom CNN and transfer learning (VGG16, ResNet50). Achieved up to 97.5% accuracy for automated land-cover classification.

  • Updated Sep 3, 2025
  • Jupyter Notebook

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