README.md

metadata

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 OpenFire

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • 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 that aren't so easy to classify, since they're all dog breeds.

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. Information about data collection of the source data can be found here.

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.

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 added to HuggingFace Datasets by @frgfm.