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BIFOLD-BigEarthNetv2-0
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mobilevit_s-all-v0.1.1

Image Classification
Safetensors
configilm
mobilevit_s
BigEarthNet v2.0
Remote Sensing
Classification
Multispectral
Model card Files Community
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@@ -29,7 +29,7 @@ widget:
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  :---:|:---:|:---:|:---:|:---:
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  <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">
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- # Mobilevit_s pretained on BigEarthNet v2.0 using Sentinel-1 & Sentinel-2 bands
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  <!-- Optional images -->
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  <!--
@@ -46,7 +46,7 @@ precision macro)
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  - Learning rate: 0.001
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  - Dropout rate: 0.15
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  - Drop Path rate: 0.15
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- - Learning rate scheduler: LinearWarmupCosineAnnealing for 1000 warmup steps
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  - Optimizer: AdamW
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  - Seed: 24
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@@ -61,7 +61,7 @@ The model was evaluated on the test set of the BigEarthNet v2.0 dataset with the
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  |:------------------|------------------:|------------------:|
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  | Average Precision | 0.703328 | 0.863635 |
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  | F1 Score | 0.637516 | 0.763493 |
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- | Precision | 0.752770 | 0.812949 |
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  # Example
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  | A Sentinel-2 image (true color representation) |
 
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  :---:|:---:|:---:|:---:|:---:
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  <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">
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+ # Mobilevit_s pretrained on BigEarthNet v2.0 using Sentinel-1 & Sentinel-2 bands
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  <!-- Optional images -->
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  <!--
 
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  - Learning rate: 0.001
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  - Dropout rate: 0.15
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  - Drop Path rate: 0.15
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+ - Learning rate scheduler: LinearWarmupCosineAnnealing for 1000 warmup steps
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  - Optimizer: AdamW
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  - Seed: 24
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  |:------------------|------------------:|------------------:|
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  | Average Precision | 0.703328 | 0.863635 |
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  | F1 Score | 0.637516 | 0.763493 |
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+ | Precision | 0.703328 | 0.863635 |
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  # Example
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  | A Sentinel-2 image (true color representation) |