README.md

---
license: cc0-1.0
language:
- en
pretty_name: QUEST Images of Fish from QUEST 2024
tags:
- biology
- image
- animals
- CV
- fish
- species
- NJ fish
size_categories: n<1K
task_categories:
- image-classification
---

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# Dataset Card for QUEST Fish 2024

Images of fish  collected from bodies of water near  Princeton University.   

## Dataset Details

### Dataset Description

- **Homepage:** [QUEST 2024](https://teacherprep.princeton.edu/quest2024)


## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->


```
/dataset/
    <folder>/
        <img_id 1>.png
        <img_id 2>.png
        ...
        <img_id n>.png
    ...
    <img_id 1>.png
    <img_id 2>.png
     ...
    <img_id n>.png
    fieldData2024.csv
```


### Data Instances

All images are named <img_id>.png or .jpeg.  Some images are within folders, others are not; in or out of folders is arbitrary.  The pictures were taken from a variety of phones by participants of QUEST 2024.  The pictures were not standardized in any way. 

### Data Fields
[More Information Needed]
<!--
Describe the types of the data files or the columns in a CSV with metadata.

Ex: 
**metadata.csv**:
  - `img_id`: Unique identifier for the dataset. 
  - `specimen_id`: ID of specimen in the image, provided by museum data source. There are multiple images of a single specimen.
  - `species`: Species of the specimen in the image. There are N different species of <genus> of <animal>.
  - `view`: View of the specimen in the image (e.g., `ventral` or `dorsal` OR `top` or `bottom`, etc.; specify options where reasonable).
  - `file_name`: Relative path to image from the root of the directory (`<species>/<img_id>.png`); allows for image to be displayed in the dataset viewer alongside its associated metadata.
-->


**fieldData2024.csv**:
  - `photoID`: Unique identifier for the image. 
  - `photoName`: Same as Photo ID 
  - `species`: Species of the specimen in the image. There are 10 different species.
  - `Location`: View of the specimen in the image (e.g., `ventral` or `dorsal` OR `top` or `bottom`, etc.; specify options where reasonable).
  - `WaterTemp`: Temperature of water where fish was collected (C)
  - `WaterFlow`: Flow Rate of water where fish was collected 
  - `WaterDepth`: Depth of water where fish was collected 
  - `photoURL`: Huggingface URL for image of the fish.
  - `Body_Length`:  Measured by hand and eye, the length of fish body (arbitrary unit)
  - `Body_Width`:  Measured by hand and eye, the width of fish body (arbitrary unit)
  - `Head_Length`:  Measured by hand and eye, the length of fish head (arbitrary unit)
  - `Head_width`:  Measured by hand and eye, the width of fish head (arbitrary unit)
  - `Snout_to_eye`:  Measured by hand and eye, the length between fish snout and eye (arbitrary unit)
  - `Ratio_bodyLenByBodyWid`: Body_Length/Body_Width
  - `Ratio_headLenByBodyWid`: Head_Length/Head_Width
-->


## Dataset Creation

### Curation Rationale

These images are merged with data  (not included here) collected from teachers so that they experience life as an ecologist, where fish are the subject and measurements are taken from the fish.  Measurements are taken by hand about the fish and surrounding areas.

## Licensing Information

This dataset has been marked as dedicated to the public domain by applying the [CC0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/).

## Citation

**BibTeX:**
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**Data**
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@misc{<ref_code>,
  author = {<author1 and author2>},
  title = {<title>},
  year = {<year>},
  url = {https://huggingface.co/datasets/imageomics/<dataset_name>},
  doi = {<doi once generated>},
  publisher = {Hugging Face}
}
```

-for an associated paper:
**Paper**
```
@article{<ref_code>,
  title    = {<title>},
  author   = {<author1 and author2>},
  journal  = {<journal_name>},
  year     =  <year>,
  url      = {<DOI_URL>},
  doi      = {<DOI>}
}
```
-->

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## Acknowledgements

This work was supported by Princeton University as part of the [QUEST Teacher Preparation Program](https://teacherprep.princeton.edu/quest2024), with additional support from the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

<!-- You may also want to credit the source of your data, i.e., if you went to a museum or nature preserve to collect it. -->

## Glossary 

Only images are stored here.  Nothing more.