Commit c93b1bce by Gencer Sümbül

Update README.md

parent 733b52c2
......@@ -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:
| Model Names | Pre-Trained TensorFlow Models |
| ------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------|
| K-Branch CNN | [K-BranchCNN.zip](http://bigearth.net/static/pretrained-models/original_labels/K-BranchCNN.zip) |
| VGG16 | [VGG16.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG16.zip) |
| VGG19 | [VGG19.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG19.zip) |
| ResNet50 | [ResNet50.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet50.zip) |
| ResNet101 | [ResNet101.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet101.zip) |
| ResNet152 | [ResNet152.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet152.zip) |
| K-Branch CNN | [K-BranchCNN.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/K-BranchCNN.zip) |
| VGG16 | [VGG16.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/VGG16.zip) |
| VGG19 | [VGG19.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/VGG19.zip) |
| ResNet50 | [ResNet50.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/ResNet50.zip) |
| ResNet101 | [ResNet101.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/ResNet101.zip) |
| ResNet152 | [ResNet152.zip](http://bigearth.net/static/pretrained-models/BigEarthNet-S2_43-Classes/ResNet152.zip) |
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.
......@@ -52,8 +52,6 @@ To run the script, either the GDAL or the rasterio package should be installed.
## Authors
-------
[**Gencer Sümbül**](http://www.user.tu-berlin.de/gencersumbul/)
[**Tristan Kreuziger**](https://www.rsim.tu-berlin.de/menue/team/tristan_kreuziger/)
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment