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README.md

@@ -14,7 +14,7 @@ widget:
     example_title: Example
     output:
       - label: Agro-forestry areas
-        score: 0.140823
+        score: 0.140824
       - label: Arable land
         score: 0.137060
       - label: Beaches, dunes, sands
@@ -29,7 +29,7 @@ widget:
 :---:|:---:|:---:|:---:|:---:
 <a href="https://www.tu.berlin/"><img src="https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/tu-berlin-logo-long-red.svg" style="font-size: 1rem; height: 2em; width: auto" alt="TU Berlin Logo"/>  |  <a href="https://rsim.berlin/"><img src="https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/RSiM_Logo_1.png" style="font-size: 1rem; height: 2em; width: auto" alt="RSiM Logo"> | <a href="https://www.dima.tu-berlin.de/menue/database_systems_and_information_management_group/"><img src="https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/DIMA.png" style="font-size: 1rem; height: 2em; width: auto" alt="DIMA Logo"> | <a href="http://www.bigearth.eu/"><img src="https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/BigEarth.png" style="font-size: 1rem; height: 2em; width: auto" alt="BigEarth Logo"> | <a href="https://bifold.berlin/"><img src="https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/BIFOLD_Logo_farbig.png" style="font-size: 1rem; height: 2em; width: auto; margin-right: 1em" alt="BIFOLD Logo">
 
-# Vit_base_patch8_224 pretained on BigEarthNet v2.0 using Sentinel-1 & Sentinel-2 bands
+# Vit_base_patch8_224 pretrained on BigEarthNet v2.0 using Sentinel-1 & Sentinel-2 bands
 
 <!-- Optional images -->
 <!--
@@ -46,7 +46,7 @@ precision macro)
 - Learning rate: 0.001
 - Dropout rate: 0.15
 - Drop Path rate: 0.15
-- Learning rate scheduler: LinearWarmupCosineAnnealing for 1000 warmup steps
+- Learning rate scheduler: LinearWarmupCosineAnnealing for 1000  warmup steps
 - Optimizer: AdamW
 - Seed: 0
 
@@ -61,7 +61,7 @@ The model was evaluated on the test set of the BigEarthNet v2.0 dataset with the
 |:------------------|------------------:|------------------:|
 | Average Precision |        0.669646 |        0.840189 |
 | F1 Score          |        0.608862 |        0.741301 |
-| Precision         | 0.699223 | 0.780822 |
+| Precision         | 0.669646 | 0.840189 |
 
 # Example
 |             A Sentinel-2 image (true color representation)              |
@@ -70,7 +70,7 @@ The model was evaluated on the test set of the BigEarthNet v2.0 dataset with the
 
 | Class labels                                                              |                                                          Predicted scores |
 |:--------------------------------------------------------------------------|--------------------------------------------------------------------------:|
-| <p> Agro-forestry areas <br> Arable land <br> Beaches, dunes, sands <br> ... <br> Urban fabric </p> | <p> 0.140823 <br> 0.137060 <br> 0.025337 <br> ... <br> 0.011822 </p> |
+| <p> Agro-forestry areas <br> Arable land <br> Beaches, dunes, sands <br> ... <br> Urban fabric </p> | <p> 0.140824 <br> 0.137060 <br> 0.025337 <br> ... <br> 0.011822 </p> |
 
 
 To use the model, download the codes that define the model architecture from the