readme updates

.gitignore

@@ -17,3 +17,6 @@ here.csv
 *.ttf
 scripts/results/
 scripts/collage*
+vre_dronescapes/
+scripts/dev.ipynb
+

README.md

@@ -1,9 +1,9 @@
 # Dronescapes dataset
 
-![Logo](logo.png)
-
 As introduced in our ICCV 2023 workshop paper: [link](https://openaccess.thecvf.com/content/ICCV2023W/LIMIT/papers/Marcu_Self-Supervised_Hypergraphs_for_Learning_Multiple_World_Interpretations_ICCVW_2023_paper.pdf)
 
+![Logo](logo.png)
+
 # 1. Downloading the data
 
 ## Option 1. Download the pre-processed dataset from HuggingFace repository
@@ -177,14 +177,20 @@ def convert_camera_to_world(normals: np.ndarray, rotation_matrix: np.ndarray) ->
 ## 2. Using the data
 
 As per the split from the paper:
-![Split](split.png)
+
+<details>
+<summary> Split </summary>
+<img src="split.png">
+</details>
 
 The data is in `data/*` (see the `ls` call above, it should match even if you download from huggingface).
 
 ## 2.1 Using the provided viewer
 
+![Collage](collage.png)
+
 The simplest way to explore the data is to use the [provided notebook](scripts/dronescapes_viewer.ipynb). Upon running
-it, you should get a collage with all the default tasks, like this: ![Collage](collage.png)
+it, you should get a collage with all the default tasks, like the picture at the top.
 
 For a CLI-only method, you can use the provided reader as well: