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lulc-using-sentinel-2's Introduction

LULC-using-Sentinel-2

For implementation:

  • Run the notebook to generate the model.
  • Dataset can be downloaded from the link here.
  • Save model in the Models directory
  • Install required packages
  • Run app.py (send an image file as a request to the classify end poing and will get the class for it).

Reference

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

@inproceedings{helber2018introducing, title={Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification}, author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian}, booktitle={IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium}, pages={204--207}, year={2018}, organization={IEEE} }

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lulc-using-sentinel-2's Issues

Missing

We should add the pre-trained model (.pt extension)

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