Datasets:

frgfm
/

imagewoof

@@ -1,160 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- crowdsourced
-license:
-- apache-2.0
-multilinguality: []
-pretty_name: Imagewoof
-size_categories:
-- 1K<n<10K
-source_datasets:
-- extended
-task_categories:
-- image-classification
-task_ids:
-- image-classification
-paperswithcode_id: imagewoof
----
-# Dataset Card for Imagewoof
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-## Dataset Description
-- **Homepage:** https://github.com/fastai/imagenette#imagewoof
-- **Repository:** https://github.com/fastai/imagenette
-- **Leaderboard:** https://paperswithcode.com/sota/image-classification-on-imagewoof
-### Dataset Summary
-A smaller subset of 10 classes from [Imagenet](https://huggingface.co/datasets/imagenet-1k#dataset-summary) that aren't so easy to classify, since they're all dog breeds.
-This dataset was created by [Jeremy Howard](https://twitter.com/jeremyphoward), and this repository is only there to share his work on this platform. The repository owner takes no credit of any kind in the creation, curation or packaging of the dataset.
-### Supported Tasks and Leaderboards
-- `image-classification`: The dataset can be used to train a model for Image Classification.
-### Languages
-The class labels in the dataset are in English.
-## Dataset Structure
-### Data Instances
-A data point comprises an image URL and its classification label.
-```
-{
-  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=320x320 at 0x19FA12186D8>,
-  'label': 'Beagle',
-}
-```
-### Data Fields
-- `image`: A `PIL.Image.Image` object containing the image.
-- `label`: the expected class label of the image.
-### Data Splits
-|         |train|validation|
-|---------|----:|---------:|
-|imagewoof| 9025|      3929|
-## Dataset Creation
-### Curation Rationale
-cf. https://huggingface.co/datasets/imagenet-1k#curation-rationale
-### Source Data
-#### Initial Data Collection and Normalization
-Imagewoof is a subset of [ImageNet](https://huggingface.co/datasets/imagenet-1k). Information about data collection of the source data can be found [here](https://huggingface.co/datasets/imagenet-1k#initial-data-collection-and-normalization).
-### Annotations
-#### Annotation process
-cf. https://huggingface.co/datasets/imagenet-1k#annotation-process
-#### Who are the annotators?
-cf. https://huggingface.co/datasets/imagenet-1k#who-are-the-annotators
-### Personal and Sensitive Information
-cf. https://huggingface.co/datasets/imagenet-1k#personal-and-sensitive-information
-## Considerations for Using the Data
-### Social Impact of Dataset
-cf. https://huggingface.co/datasets/imagenet-1k#social-impact-of-dataset
-### Discussion of Biases
-cf. https://huggingface.co/datasets/imagenet-1k#discussion-of-biases
-### Other Known Limitations
-cf. https://huggingface.co/datasets/imagenet-1k#other-known-limitations
-## Additional Information
-### Dataset Curators
-cf. https://huggingface.co/datasets/imagenet-1k#dataset-curators
-and Jeremy Howard
-### Licensing Information
-[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
-### Citation Information
-```
-@software{Howard_Imagewoof_2019,
-    title={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},
-    author={Jeremy Howard},
-    year={2019},
-    month={March},
-    publisher = {GitHub},
-    url = {https://github.com/fastai/imagenette#imagewoof}
-}
-```
-### Contributions
-This dataset was created by [Jeremy Howard](https://twitter.com/jeremyphoward) and published on [Github](https://github.com/fastai/imagenette). It was then only integrated into HuggingFace Datasets by [@frgfm](https://huggingface.co/frgfm).

dataset_infos.json DELETED Viewed

@@ -1,191 +0,0 @@
-{
-  "full_size": {
-    "description": "Imagewoof is a subset of 10 classes from Imagenet that aren't so \neasy to classify, since they're all dog breeds. The breeds are: \nAustralian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu, \nEnglish foxhound, Rhodesian ridgeback, Dingo, Golden retriever, \nOld English sheepdog.",
-    "citation": "@software{Howard_Imagewoof_2019,\ntitle={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},\nauthor={Jeremy Howard},\nyear={2019},\nmonth={March},\npublisher = {GitHub},\nurl = {https://github.com/fastai/imagenette#imagewoof}\n}\n",
-    "homepage": "https://github.com/fastai/imagenette#imagewoof",
-    "license": "Apache License 2.0",
-    "features": {
-      "image": {
-        "decode": true,
-	      "id": null,
-	      "_type": "Image"
-      },
-      "label": {
-        "num_classes": 10,
-        "names": ["Australian terrier", "Border terrier", "Samoyed", "Beagle", "Shih-Tzu", "English foxhound", "Rhodesian ridgeback", "Dingo", "Golden retriever", "Old English sheepdog"],
-	      "id": null,
-	      "_type": "ClassLabel"
-      }
-    },
-    "post_processed": null,
-    "supervised_keys": null,
-    "task_templates": null,
-    "builder_name": "imagewoof",
-    "config_name": "full_size",
-    "version": {
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-      "description": null,
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-      "minor": 0,
-      "patch": 0
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-        "dataset_name": "imagewoof"
-      },
-      "validation": {
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-        "dataset_name": "imagewoof"
-      }
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-    "citation": "@software{Howard_Imagewoof_2019,\ntitle={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},\nauthor={Jeremy Howard},\nyear={2019},\nmonth={March},\npublisher = {GitHub},\nurl = {https://github.com/fastai/imagenette#imagewoof}\n}\n",
-    "homepage": "https://github.com/fastai/imagenette#imagewoof",
-    "license": "Apache License 2.0",
-    "features": {
-      "image": {
-        "decode": true,
-        "id": null,
-        "_type": "Image"
-      },
-      "label": {
-        "num_classes": 10,
-        "names": ["Australian terrier", "Border terrier", "Samoyed", "Beagle", "Shih-Tzu", "English foxhound", "Rhodesian ridgeback", "Dingo", "Golden retriever", "Old English sheepdog"],
-        "id": null,
-        "_type": "ClassLabel"
-      }
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-    "task_templates": null,
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-        "dataset_name": "imagewoof"
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-        "dataset_name": "imagewoof"
-      }
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-    "description": "Imagewoof is a subset of 10 classes from Imagenet that aren't so \neasy to classify, since they're all dog breeds. The breeds are: \nAustralian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu, \nEnglish foxhound, Rhodesian ridgeback, Dingo, Golden retriever, \nOld English sheepdog.",
-    "citation": "@software{Howard_Imagewoof_2019,\ntitle={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},\nauthor={Jeremy Howard},\nyear={2019},\nmonth={March},\npublisher = {GitHub},\nurl = {https://github.com/fastai/imagenette#imagewoof}\n}\n",
-    "homepage": "https://github.com/fastai/imagenette#imagewoof",
-    "license": "Apache License 2.0",
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-      "image": {
-        "decode": true,
-        "id": null,
-        "_type": "Image"
-      },
-      "label": {
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-        "names": ["Australian terrier", "Border terrier", "Samoyed", "Beagle", "Shih-Tzu", "English foxhound", "Rhodesian ridgeback", "Dingo", "Golden retriever", "Old English sheepdog"],
-        "id": null,
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imagewoof.py DELETED Viewed

@@ -1,161 +0,0 @@
-# Copyright (C) 2022, François-Guillaume Fernandez.
-# 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.
-"""Imagewoof dataset."""
-import os
-import json
-import datasets
-_HOMEPAGE = "https://github.com/fastai/imagenette#imagewoof"
-_LICENSE = "Apache License 2.0"
-_CITATION = """\
-@software{Howard_Imagewoof_2019,
-    title={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},
-    author={Jeremy Howard},
-    year={2019},
-    month={March},
-    publisher = {GitHub},
-    url = {https://github.com/fastai/imagenette#imagewoof}
-}
-"""
-_DESCRIPTION = """\
-Imagewoof is a subset of 10 classes from Imagenet that aren't so
-easy to classify, since they're all dog breeds. The breeds are:
-Australian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu,
-English foxhound, Rhodesian ridgeback, Dingo, Golden retriever,
-Old English sheepdog.
-"""
-_LABEL_MAP = [
-    'n02086240',
-    'n02087394',
-    'n02088364',
-    'n02089973',
-    'n02093754',
-    'n02096294',
-    'n02099601',
-    'n02105641',
-    'n02111889',
-    'n02115641',
-]
-_REPO = "https://huggingface.co/datasets/frgfm/imagewoof/resolve/main/metadata"
-class ImagewoofConfig(datasets.BuilderConfig):
-    """BuilderConfig for Imagewoof."""
-    def __init__(self, data_url, metadata_urls, **kwargs):
-        """BuilderConfig for Imagewoof.
-        Args:
-          data_url: `string`, url to download the zip file from.
-          matadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(ImagewoofConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.data_url = data_url
-        self.metadata_urls = metadata_urls
-class Imagewoof(datasets.GeneratorBasedBuilder):
-    """Imagewoof dataset."""
-    BUILDER_CONFIGS = [
-        ImagewoofConfig(
-            name="full_size",
-            description="All images are in their original size.",
-            data_url="https://s3.amazonaws.com/fast-ai-imageclas/imagewoof2.tgz",
-            metadata_urls={
-                "train": f"{_REPO}/imagewoof2/train.txt",
-                "validation": f"{_REPO}/imagewoof2/val.txt",
-            },
-        ),
-        ImagewoofConfig(
-            name="320px",
-            description="All images were resized on their shortest side to 320 pixels.",
-            data_url="https://s3.amazonaws.com/fast-ai-imageclas/imagewoof2-320.tgz",
-            metadata_urls={
-                "train": f"{_REPO}/imagewoof2-320/train.txt",
-                "validation": f"{_REPO}/imagewoof2-320/val.txt",
-            },
-        ),
-        ImagewoofConfig(
-            name="160px",
-            description="All images were resized on their shortest side to 160 pixels.",
-            data_url="https://s3.amazonaws.com/fast-ai-imageclas/imagewoof2-160.tgz",
-            metadata_urls={
-                "train": f"{_REPO}/imagewoof2-160/train.txt",
-                "validation": f"{_REPO}/imagewoof2-160/val.txt",
-            },
-        ),
-    ]
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION + self.config.description,
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "label": datasets.ClassLabel(
-                        names=[
-                            "Australian terrier",
-                            "Border terrier",
-                            "Samoyed",
-                            "Beagle",
-                            "Shih-Tzu",
-                            "English foxhound",
-                            "Rhodesian ridgeback",
-                            "Dingo",
-                            "Golden retriever",
-                            "Old English sheepdog",
-                        ]
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-    def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download(self.config.data_url)
-        metadata_paths = dl_manager.download(self.config.metadata_urls)
-        archive_iter = dl_manager.iter_archive(archive_path)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "images": archive_iter,
-                    "metadata_path": metadata_paths["train"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "images": archive_iter,
-                    "metadata_path": metadata_paths["validation"],
-                },
-            ),
-        ]
-    def _generate_examples(self, images, metadata_path):
-        with open(metadata_path, encoding="utf-8") as f:
-            files_to_keep = set(f.read().split("\n"))
-        idx = 0
-        for file_path, file_obj in images:
-            if file_path in files_to_keep:
-                label = _LABEL_MAP.index(file_path.split("/")[-2])
-                yield idx, {
-                    "image": {"path": file_path, "bytes": file_obj.read()},
-                    "label": label,
-                }
-                idx += 1

metadata/imagewoof2-160/train.txt DELETED Viewed