Commit ff10f793 by Gencer

fix

parent 02c8a44e
......@@ -17,15 +17,10 @@ If you use BigEarthNet archive, please cite our paper given below:
}
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# Class Labels
There are two sets of class labels available:
* Multi-labels associated to Level-3 class nomenclature of CLC 2018
* Compact multi-labels associated to rearranged class nomenclature of CLC 2018 (Coming Soon!)
# Pre-trained Deep Learning Models on BigEarthNet
We provide code and model weights for fhe following deep learning models that have been pre-trained on BigEarthNet for scene classification:
Deep Learning Models pre-trained on the BigEarthNet with multi-labels associated to Level-3 class nomenclature of CLC 2018 (i.e., original labels):
Deep Learning Models pre-trained on the BigEarthNet with multi-labels associated to Level-3 class nomenclature of CLC 2018:
| Model Name | Pre-Trained TensorFlow Model with Original Labels | F<sub>1</sub> Score |
| ------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|
......@@ -36,9 +31,7 @@ Deep Learning Models pre-trained on the BigEarthNet with multi-labels associated
| ResNet101 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet101.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet101.zip) | 72.76% |
| ResNet152 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet152.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet152.zip) | 75.86% |
Deep Learning Models pre-trained on the BigEarthNet with compact multi-labels associated to rearranged class nomenclature of CLC 2018 (i.e., compact labels):
Coming Soon!
The results provided in the [BigEarthNet paper](http://bigearth.net/static/documents/BigEarthNet_IGARSS_2019.pdf) is different from those given above due to the selection of different train, validation and test sets.
The TensorFlow code for these models can be found [here](https://gitlab.tu-berlin.de/rsim/bigearthnet-models-tf).
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