README.md

metadata

pretty_name: Ecoset
license: cc
source_datasets:
  - original
task_categories:
  - image-classification
  - image
task_ids:
  - multi-class-image-classification
  - other-other-image-classification
  - image-classification
  - other-image-classification
paperswithcode_id: ecoset

In order to work with ecoset, please make sure to install the s3 compatible version of huggingface datasets, which should include the 's3fs', botocore and 'boto3' modules:

pip install datasets[s3]

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • 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://www.kietzmannlab.org/ecoset
• Repository: https://codeocean.com/capsule/9570390/tree/v1
• Paper: https://doi.org/10.1073/pnas.2011417118
• Point of Contact: support@codeocean.com

Dataset Summary

Tired of all the dogs in ImageNet (ILSVRC)? Then ecoset is here for you. 1.5m images from 565 basic level categories, chosen to be both (i) frequent in linguistic usage, and (ii) rated by human observers as concrete (e.g. ‘table’ is concrete, ‘romance’ is not). Here we collect resources associated with ecoset. This includes the dataset, trained deep neural network models, code to interact with them, and published papers using it.

Supported Tasks and Leaderboards

Ecoset is a large multi-class single-label object recognition image dataset (similar to ImageNet).

Dataset Structure

We show detailed information for all the configurations of the dataset. Currently, there is only one setting (Full) available, containing all data.

Data Instances

Click to expand the Data/size information for each language (deduplicated)

Full

• Size of downloaded dataset files: 155 GB
• Total amount of disk used: 311 GB

Dataset Creation

Personal and Sensitive Information

TODO

Considerations for Using the Data

Social Impact of Dataset

TODO

Discussion of Biases

TODO

Other Known Limitations

TODO

Additional Information

Dataset Curators

The corpus was put together by # TODO.

Licensing Information

Ecoset is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 2.0 license (cc-by-nc-sa-2.0).

Citation Information

@article{mehrer2021ecologically,
  title={An ecologically motivated image dataset for deep learning yields better models of human vision},
  author={Mehrer, Johannes and Spoerer, Courtney J and Jones, Emer C and Kriegeskorte, Nikolaus and Kietzmann, Tim C},
  journal={Proceedings of the National Academy of Sciences},
  volume={118},
  number={8},
  pages={e2011417118},
  year={2021},
  publisher={National Acad Sciences}
}

Contributions

Thanks to #TODO