README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - en
license:
  - apache-2.0
multilinguality: []
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
task_categories:
  - image-classification
task_ids: []
paperswithcode_id: imagenette
pretty_name: Imagenette

Dataset Card for Imagenette

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
• Repository: https://github.com/fastai/imagenette
• Leaderboard: https://paperswithcode.com/sota/image-classification-on-imagenette

Dataset Summary

A smaller subset of 10 easily classified classes from Imagenet, and a little more French. This dataset was created by Jeremy Howard, 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': 'tench',
}

Data Fields

• image: A PIL.Image.Image object containing the image.
• label: the expected class label of the image.

Data Splits

	train	validation
imagenette	9469	3925

Dataset Creation

Curation Rationale

cf. https://huggingface.co/datasets/imagenet-1k#curation-rationale

Source Data

Initial Data Collection and Normalization

Imagenette 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_Imagenette_2019,
    title={Imagenette: A smaller subset of 10 easily classified classes from Imagenet},
    author={Jeremy Howard},
    year={2019},
    month={March},
    publisher = {GitHub},
    url = {https://github.com/fastai/imagenette}
}

Contributions

This dataset was created by Jeremy Howard and published on Github. It was then only integrated into HuggingFace Datasets by @frgfm.