Datasets:
Tasks:
Other
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
| # coding=utf-8 | |
| # Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """The Microsoft Cats vs. Dogs dataset""" | |
| from pathlib import Path | |
| from typing import List | |
| import datasets | |
| from datasets.tasks import ImageClassification | |
| logger = datasets.logging.get_logger(__name__) | |
| _URL = "https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip" | |
| _HOMEPAGE = "https://www.microsoft.com/en-us/download/details.aspx?id=54765" | |
| _DESCRIPTION = "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped." | |
| _CITATION = """\ | |
| @Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization, | |
| author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared}, | |
| title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization}, | |
| booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)}, | |
| year = {2007}, | |
| month = {October}, | |
| publisher = {Association for Computing Machinery, Inc.}, | |
| url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/}, | |
| edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)}, | |
| } | |
| """ | |
| class CatsVsDogs(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "image_file_path": datasets.Value("string"), | |
| "labels": datasets.features.ClassLabel(names=["cat", "dog"]), | |
| } | |
| ), | |
| supervised_keys=("image_file_path", "labels"), | |
| task_templates=[ | |
| ImageClassification( | |
| image_file_path_column="image_file_path", label_column="labels", labels=["Cat", "Dog"] | |
| ) | |
| ], | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: | |
| images_path = Path(dl_manager.download_and_extract(_URL)) / "PetImages" | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"images_path": images_path}), | |
| ] | |
| def _generate_examples(self, images_path): | |
| logger.info("generating examples from = %s", images_path) | |
| labels = self.info.features["labels"] | |
| for i, filepath in enumerate(images_path.glob("**/*.jpg")): | |
| with filepath.open("rb") as f: | |
| if b"JFIF" not in f.peek(10): | |
| filepath.unlink() | |
| continue | |
| yield str(i), { | |
| "image_file_path": str(filepath), | |
| "labels": labels.encode_example(filepath.parent.name.lower()), | |
| } | |