@@ -17,20 +17,20 @@ If you use the BigEarthNet-S2 archive or our pre-trained models, please cite the
}
```
If you are interested in the new nomenclature of 19 classes, check [here](https://gitlab.tubit.tu-berlin.de/rsim/bigearthnet-19-models).
If you are interested in the nomenclature of 19 classes, check [here](https://gitlab.tubit.tu-berlin.de/rsim/bigearthnet-19-models).
## Pre-trained Deep Learning Models
We provide code and model weights for the following deep learning models that have been pre-trained on BigEarthNet-S2 with the original Level-3 class nomenclature of CLC 2018 for scene classification:
We provide code and model weights for the following deep learning models that have been pre-trained on BigEarthNet-S2 with the original Level-3 class nomenclature of CLC 2018 (which includes 43 classes) for scene classification:
The results provided in the [BigEarthNet-S2 paper](http://bigearth.net/static/documents/BigEarthNet_IGARSS_2019.pdf) are different from those obtained by the models given above due to the selection of different train, validation and test sets.
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@@ -52,8 +52,6 @@ To run the script, either the GDAL or the rasterio package should be installed.
