Commit 02c8a44e by Gencer

fix

parent f5a75574
......@@ -27,14 +27,14 @@ We provide code and model weights for fhe following deep learning models that ha
Deep Learning Models pre-trained on the BigEarthNet with multi-labels associated to Level-3 class nomenclature of CLC 2018 (i.e., original labels):
| Model Name | Pre-Trained TensorFlow Models with Original Labels |
| ------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------|
| K-Branch CNN | [http://bigearth.net/static/pretrained-models/original_labels/K-BranchCNN.zip](http://bigearth.net/static/pretrained-models/original_labels/K-BranchCNN.zip)|
| VGG16 | [http://bigearth.net/static/pretrained-models/original_labels/VGG16.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG16.zip) |
| VGG19 | [http://bigearth.net/static/pretrained-models/original_labels/VGG19.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG19.zip) |
| ResNet50 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet50.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet50.zip) |
| ResNet101 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet101.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet101.zip) |
| ResNet152 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet152.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet152.zip) |
| Model Name | Pre-Trained TensorFlow Model with Original Labels | F<sub>1</sub> Score |
| ------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|
| K-Branch CNN | [http://bigearth.net/static/pretrained-models/original_labels/K-BranchCNN.zip](http://bigearth.net/static/pretrained-models/original_labels/K-BranchCNN.zip)| 70.31% |
| VGG16 | [http://bigearth.net/static/pretrained-models/original_labels/VGG16.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG16.zip) | 78.18% |
| VGG19 | [http://bigearth.net/static/pretrained-models/original_labels/VGG19.zip](http://bigearth.net/static/pretrained-models/original_labels/VGG19.zip) | 77.30% |
| ResNet50 | [http://bigearth.net/static/pretrained-models/original_labels/ResNet50.zip](http://bigearth.net/static/pretrained-models/original_labels/ResNet50.zip) | 75.00% |
| 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):
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