adjust link

Author: elenaivadreyer

tutorial.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Few-Shot Learning for Rooftop Segmentation in Satellite Imagery\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hertie-data-science-lab/tutorial-new-tutorial-group-1/blob/main/notebooks/tutorial_few_shot_learning.ipynb)\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hertie-data-science-lab/tutorial-new-tutorial-group-1/blob/main/tutorial.ipynb)\n",
     "\n",
     "\n",
     "This tutorial introduces few-shot learning techniques for semantic segmentation in satellite imagery using high-resolution images from Geneva, Switzerland. We will demonstrate how Prototypical Networks can learn meaningful rooftop representations from only a few labeled examples and generalize to new geographic areas with minimal annotation effort.\n",