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welcome.ipynb

@@ -6,9 +6,10 @@
    "metadata": {},
    "source": [
     "# Welcome!  \n",
-    "This is the Huggingface space provides a demo of the devkit tools for working with the Flooded Road Environments Dataset (FRED). This work aims to enable and foster more research into the improvement of methods for detecting water hazards from autonomous vehicles.\n",
-    "Github Repo: https://github.com/AVR3-Training-Centre/python-FRED\n",
-    "Dataset Page: https://huggingface.co/datasets/CMalone-Jupiter/FRED"
+    "This is the Huggingface space provides a demo of the devkit tools for working with the Flooded Road Environments Dataset (FRED). This work aims to enable and foster more research into the improvement of methods for detecting water hazards from autonomous vehicles.  \n",
+    "Github Repo: https://github.com/AVR3-Training-Centre/python-FRED  \n",
+    "Dataset Page: https://huggingface.co/datasets/CMalone-Jupiter/FRED  \n",
+    "Research Group: https://avr3.org.au/ "
    ]
   },
   {
@@ -37,7 +38,7 @@
     "- Creating pointcloud semantic labels from image annotations\n",
     "- Creating range images from pointclouds\n",
     "- Infilling missing ground points in pointclouds\n",
-    "  \n",
+    "\n",
     "The SDK will continue to be developed and updated to improve the functionality and utility for the research community."
    ]
   },
@@ -49,12 +50,6 @@
     "## Install\n",
     "Currently the SDK comes with a pixi.toml file that can be used to set up a python environment using the pixi package manager. In addition, a DockerFile is provided for use in this Huggingface app for online usage of the SDK and dataset. This may be able to be used to create a Docker environment on your own computer, however, this functionality is not tested."
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f5463573",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {