---
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

---

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Installation](#installation)
  - [Install requirements](#install-requirements)
  - [Download settings](#download-settings)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [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://www.kietzmannlab.org/ecoset](https://www.kietzmannlab.org/ecoset/)
- **Repository:** [https://codeocean.com/capsule/9570390/tree/v1](https://codeocean.com/capsule/9570390/tree/v1)
- **Paper:** [https://doi.org/10.1073/pnas.2011417118](https://doi.org/10.1073/pnas.2011417118)
- **Point of Contact:** [support@codeocean.com](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).


### Supported Tasks and Leaderboards

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


### Install Requirements

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:

```bash
pip install datasets[s3]
```


### Download Settings

Please set `ignore_verifications=True`. when downloading this dataset, else the download will result in an error:

```python
from datasets import load_dataset

dataset = load_dataset("DiGyt/ecoset", ignore_verifications=True)
```


## 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

#### 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