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README.md
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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{{ training_data | default("[More Information Needed]", true)}}
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#### Preprocessing [optional]
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{{ preprocessing | default("[More Information Needed]", true)}}
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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218 400 patchs of 512 x 512 pixels were used to train the model.
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The train/validation split was performed patchwise to obtain a 80% / 20% distribution. Spatial independancy between patches is guaranted : neighbouring patches are assigned to the same partition :
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* Train set : 174 700 patches
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* Validation set : 43 700 patchs
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{{ training_data | default("[More Information Needed]", true)}}
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#### Preprocessing [optional]
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For traning the model, input normalization was performed so as the input dataset has a mean of 0 and a standart deviation of 1. For this model here are the statistics of the TRAIN+VALIDATION partition. It is recommended that the user apply the same type of input normalization.
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Input normalization was performed
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| Modalities | Mean (Train + Validation) |Std (Train + Validation) |
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| ----------------------- | ----------- |----------- |
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| Red Channel (R) | 105.08 |52.17 |
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| Green Channel (V) | 110.87 |45.38 |
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| Blue Channel (B) | 101.82 |44.00 |
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| Infrared Channel (I) | 106.38 |39.69 |
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| Elevation Channel (E) | 53.26 |79.30 |
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{{ preprocessing | default("[More Information Needed]", true)}}
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