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README.md
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@@ -20,6 +20,7 @@ The model was trained with images of 10 different cities in Colombia with most d
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The model was trained with satellite images of 10 different cities in Colombia extracted from sentinel-2 using RGB bands using an asymmetric autoencoder. Images with information that could result in noise such as black images were filtered prior to training to avoid noise in the data.
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The dataset was split into train and test using 80% for train and 20% to test.
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## Training procedure
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### Training hyperparameters
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The model was trained with satellite images of 10 different cities in Colombia extracted from sentinel-2 using RGB bands using an asymmetric autoencoder. Images with information that could result in noise such as black images were filtered prior to training to avoid noise in the data.
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The dataset was split into train and test using 80% for train and 20% to test.
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## Training procedure
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### Training hyperparameters
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