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--- |
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task_categories: |
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- object-detection |
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tags: |
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- roboflow |
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- roboflow2huggingface |
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- Volcanoes |
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- Plumes |
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- UAVs |
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- Drone |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: int64 |
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- name: image |
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dtype: image |
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- name: width |
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dtype: int32 |
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- name: height |
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dtype: int32 |
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- name: objects |
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sequence: |
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- name: id |
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dtype: int64 |
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- name: area |
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dtype: int64 |
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- name: bbox |
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sequence: float32 |
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length: 4 |
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- name: category |
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dtype: |
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class_label: |
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names: |
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'0': plume |
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'1': summit |
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splits: |
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- name: train |
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num_bytes: 29846342.127 |
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num_examples: 1211 |
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- name: validation |
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num_bytes: 7311174 |
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num_examples: 294 |
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- name: test |
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num_bytes: 12048406 |
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num_examples: 456 |
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download_size: 49324639 |
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dataset_size: 49205922.127000004 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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license: mit |
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language: |
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- en |
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--- |
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<div align="center"> |
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<img width="640" alt="edouard-rolland/volcanic-plumes" src="https://huggingface.co/datasets/edouard-rolland/volcanic-plumes/resolve/main/thumbnail.jpg"> |
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</div> |
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### Dataset Description |
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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. |
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### Example of Application |
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### Citation |
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### Funding |
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### Dataset Labels |
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``` |
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['plume', 'summit'] |
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``` |
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### Number of Images |
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```json |
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{'valid': 294, 'test': 456, 'train': 1211} |
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``` |
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### How to Use |
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- Install [datasets](https://pypi.org/project/datasets/): |
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```bash |
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pip install datasets |
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``` |
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- Load the dataset: |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("edouard-rolland/volcanic-plumes", name="full") |
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example = ds['train'][0] |
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``` |
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### Citation |
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``` |
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@misc{ |
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} |
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``` |
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### License |
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MIT |
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