Update README.md

README.md

@@ -67,31 +67,40 @@ language:
 
 The dataset presents labelled pictures of plumes and of the Fuego Summit in Guatemala. The data was collected by the University of Bristol Flight Lab in Guatemala from March 22 to April 3, 2019. The drone used for this purpose was a Skywalker X8, equipped with a Pixhawk onboard computer running ArduPlane 3.7.1 and a Raspberry Pi 3B+ for mission management and communication with the ground station. The drone was also equipped of a GoPro Hero 9.
 
-### Example of Application
-
-
-
 ### Citation
 
+```
+@misc{
+}
+```
+
 ### Acknowledgement
 
 This work is supported by the WildDrone MSCA Doctoral Network funded by EU Horizon Europe under grant agreement no. 101071224, the Innovation Fund Denmark for the project DIREC (9142-00001B), and by the Engineering & Physical Sciences Research Council (UK) through the CASCADE (Complex Autonomous aircraft Systems Configuration, Analysis and Design Exploratory) programme grant (EP/R009953/1).
 
 
-
-
 ### Dataset Labels
 
 ```
 ['plume', 'summit']
 ```
 
+### Example of Labelled Images
+
+<div align="center">
+  <iframe width="60%" height="315" src="https://www.youtube.com/watch?v=pSGYUPancfA" frameborder="0" allowfullscreen></iframe>
+</div>
 
 ### Number of Images
 
 ```json
 {'valid': 294, 'test': 456, 'train': 1211}
 ```
+### Example of Application
+
+The dataset was used to train a YOLOv8 neural network. More details can be found in the paper mentioned in the citation section. The following video presents the model output for an entire flight.
+
+
 
 
 ### How to Use
@@ -111,14 +120,6 @@ ds = load_dataset("edouard-rolland/volcanic-plumes", name="full")
 example = ds['train'][0]
 ```
 
-
-### Citation
-
-```
-@misc{
-}
-```
-
 ### License
 MIT