metadata
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
Dataset Labels
['plume', 'summit']
Number of Images
{'valid': 294, 'test': 456, 'train': 1211}
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]
Roboflow Dataset Page
https://universe.roboflow.com/edouardrolland/hiddenproject-wndzs/dataset/1
Citation
@misc{ hiddenproject-wndzs_dataset,
title = { HiddenProject Dataset },
type = { Open Source Dataset },
author = { EdouardRolland },
howpublished = { \\url{ https://universe.roboflow.com/edouardrolland/hiddenproject-wndzs } },
url = { https://universe.roboflow.com/edouardrolland/hiddenproject-wndzs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-02-01 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on February 1, 2024 at 9:57 AM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand and search unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
The dataset includes 1961 images. Plume are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.