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  ## Model description
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- Autoencoder model trained to compress information from sentinel-2 satellite images using Vision Transformer (Vit) as encoder backbone to extract features.
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  The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-2 satellite images.
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  The model was trained using bands RGB (2, 3 and 4) (Red, Green and Blue) of the Sentinel-2 satellites and using 10 municipalities of Colombia with most dengue cases.
 
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  ## Model description
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+ Autoencoder model trained to compress information from sentinel-2 satellite images using Vision Transformer (ViT) as encoder backbone to extract features.
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  The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-2 satellite images.
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  The model was trained using bands RGB (2, 3 and 4) (Red, Green and Blue) of the Sentinel-2 satellites and using 10 municipalities of Colombia with most dengue cases.