https://github.com/aaronlking/eurosat-scene-classification

This project uses TensorFlow to train and build a land classification model with the EuroSAT dataset.
https://github.com/aaronlking/eurosat-scene-classification

classification deep-learning jupyter-notebook machine-learning neural-network python tensorflow

Last synced: 25 days ago
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This project uses TensorFlow to train and build a land classification model with the EuroSAT dataset.

• Host: GitHub
• URL: https://github.com/aaronlking/eurosat-scene-classification
• Owner: aaronlking
• Created: 2023-01-01T22:17:03.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-01T22:43:20.000Z (about 2 years ago)
• Last Synced: 2024-11-06T21:42:19.236Z (2 months ago)
• Topics: classification, deep-learning, jupyter-notebook, machine-learning, neural-network, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 999 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Eurosat-Scene-Classification

This project uses TensorFlow to train and build a land classification model with the [EuroSAT dataset](https://github.com/phelber/EuroSAT). The goal was to construct a neural network that classifies a satellite image into one of 10 classes, as well as apply some of the saving and loading techniques available from [TensorFlow Keras](https://keras.io/about/) libraries. In addition, transfer learning is leveraged to help perform more accurate classification on this dataset.