Datasets:

edouard-rolland
/

volcanic-plumes

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End of preview. Expand in Dataset Viewer.

Dataset Description

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.

Citation

@INPROCEEDINGS{10556912,
  author={Rolland, Edouard G. A. and Grøntved, Kasper A. R. and Christensen, Anders Lyhne and Watson, Matthew and Richardson, Tom},
  booktitle={2024 International Conference on Unmanned Aircraft Systems (ICUAS)}, 
  title={Autonomous UAV Volcanic Plume Sampling Based on Machine Vision and Path Planning}, 
  year={2024},
  volume={},
  number={},
  pages={1064-1071},
  keywords={Training;Wildfires;Machine vision;Object detection;Manuals;Feature extraction;Visual servoing},
  doi={10.1109/ICUAS60882.2024.10556912}}

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

Number of Images

{'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

Install datasets:

pip install datasets

Load the dataset:

from datasets import load_dataset

ds = load_dataset("edouard-rolland/volcanic-plumes", name="full")
example = ds['train'][0]

License

MIT

Downloads last month: 237

Size of downloaded dataset files:

49.3 MB

Size of the auto-converted Parquet files:

49.3 MB

Number of rows:

1,961