Datasets:
Tasks:
Image Classification
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
| # Copyright (C) 2022, Pyronear. | |
| # This program is licensed under the Apache License 2.0. | |
| # See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details. | |
| """OpenFire dataset.""" | |
| import os | |
| import json | |
| import datasets | |
| _HOMEPAGE = "https://pyronear.org/pyro-vision/datasets.html#openfire" | |
| _LICENSE = "Apache License 2.0" | |
| _CITATION = """\ | |
| @software{Pyronear_PyroVision_2019, | |
| title={Pyrovision: wildfire early detection}, | |
| author={Pyronear contributors}, | |
| year={2019}, | |
| month={October}, | |
| publisher = {GitHub}, | |
| url = {https://github.com/pyronear/pyro-vision} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| OpenFire is an image classification dataset for wildfire detection, collected | |
| from web searches. | |
| """ | |
| _REPO = "https://huggingface.co/datasets/pyronear/openfire/resolve/main/data" | |
| _URLS = { | |
| "train": f"{_REPO}/openfire_train.json", | |
| "validation": f"{_REPO}/openfire_val.json", | |
| } | |
| class OpenFire(datasets.GeneratorBasedBuilder): | |
| """OpenFire dataset.""" | |
| VERSION = datasets.Version("1.0.0") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "image_url": datasets.Value("string", id=None), | |
| "is_wildfire": datasets.Value("bool"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_dir = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": data_dir["train"], | |
| "split": "train", | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "filepath": data_dir["validation"], | |
| "split": "validation", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, "rb") as f: | |
| urls = json.load(f) | |
| idx = 0 | |
| for label in range(2): | |
| for url in urls[str(label)]: | |
| yield idx, {"image_url": url, "is_wildfire": bool(label)} | |
| idx += 1 | |