--- #license: ?? language: - en pretty_name: Beetlepalooza Dataset task_categories: - image-classification - image-segmentation tags: - biology - image - animals - CV - beetles - elytra - elytra width - elytra length - size size_categories: - n<1K - 10K # Dataset Card for Beetlepalooza Dataset ## Dataset Details ### Dataset Description - **Curated by:** list curators (authors for _data_ citation, moved up) - **Homepage:** - **Repository:** [related project repo] - **Paper:** [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ## Dataset Structure In `group_images` we have 577 images of multiple beetles in a reasonably regular pattern (see sample image below). Each of these images contains a centimeter-based scalebar and a barcode representing the sample (collection of beetles in the image). Each row in `BeetleMeasurements.csv` corresponds to a measurement of the elytra (length or width) of an individual beetle. The `individual_images` directory contains images of each individual segmented from the group images. These connect back to their group image based on the `individualID`. ``` /dataset/ group_images/ .jpg .jpg ... .pg individual_images/ .jpg .jpg ... .jpg BeetleMeasurements.csv individual_metadata.csv ``` ### Data Instances [More Information Needed] |![picture of beetles in A00000046094](https://huggingface.co/datasets/imageomics/BeetlePalooza/resolve/main/group_images/A00000046094.jpg)| |:--| |Image of _Carabus goryi_ beetles from sample A00000046094.| ### Data Fields [More Information Needed] **BeetleMeasurements.csv**: - `pictureID`: Name of the image (`.jpg`, though sometimes it's ``.jpg). Unique identifier for the 577 _group_ images, not for dataset. There are 11,104 individual beetles. All individuals in a single image are from the same location and are the same species. - `scalebar`: Pixel coordinates of the ruler/scalebar in the image. - `cm_pix`: Integer. The number of pixels in a centimeter on the scalebar. - `individual`: Integer. The beetle in the image to whom the measurements refer. Awaiting confirmation of how they are counted. - `structure`: Whether the measurement applies to the length or width of the elytra (`ElytraLength` or `ElytraWidth`, respectively). - `lying_straight`: Whether or not the beetle is "straight" in the image (`Yes` or `No`). Further guidance on this term's meaning would be helpful. - `coords_pix`: Pixel coordinates of the line marking the length or width of the elytra (green or purple --confirm which is which). Note that the lines are more than one pixel wide, which is why these coordinates form a rectangle. - `dist_pix`: Float. The length or width of the elytra (indicated by `structure`) as measured in pixels. - `dist_cm`: Float. The length or width of the elytra (indicated by `structure`) as measured in centimeters using the scalebar (`dist_pix/cm_pix`). - `scientificName`: Scientific name of the specimen (` `). There are 78 different species among 36 genera, though another 10 individuals are only labeled to the genus (or subgenus) level. The 17 individuals in `PictureID` `MOAB_001.S.20180724.jpg` are missing the scientific name label (they are all the same species). These labels were provided by NEON. - `NEON_sampleID`: NEON identifier for the sample (576 unique IDs), prefixed by the `plotID`. - `siteID`: String. Identifier for the site from which the specimens were collected. There 30 different site IDs. - `site_name`: Name of field site from which the specimens were collected. There are 43 different field site names. -- These lack consistency, and will be updated using the site codes. - `plotID`: Identifier for the plot from which the specimens were collected (`_`). There are 144 different plots from which specimens were collected. - `user_name`: Zooniverse username of person annotating the elytra length and width information (there were 3 annotators). - `workflowID`: Integer identifier for the workflow used...?? There are 5. - `genus`: Genus of the individual (generated by taking the first word in the `scientificName`). There are 36 unique genera labeled. - `species`: Species of the individual (generated from the word(s) following the `genus` in the `scientificName`). There are 78 unique species labeled. - `individualID`: Unique identifier for the beetles (based on the assumed uniqueness of the `PictureID`), generated from `PictureID` (minus the `.jpg`) plus `_`. There are 11,104 individuals photographed and annotated. - `file_name`: Relative path to image from the root of the directory (`/.jpg`); allows for image to be displayed in the dataset viewer alongside its associated metadata. **TODO:* Make metadata file for viewer once we have segmented images too: **individual_metadata.csv**: - `individualID`: ID of beetle in the individual image (matches `individualID` in `BeetleMeasurements.csv`). This is a unique identifier for this CSV. - `pictureID`: Name of the group image (`.jpg`, though sometimes it's ``.jpg). Unique identifier for the 577 _group_ images, not for dataset. (Matches `pictureID` in `BeetleMeasurements.csv`.) - `scientificName`: Scientific name of the specimen (` `). There are 85 different species among 36 genera. - `elytraLength`: Length of the elytra in centimeters. Indicated by the green line in the image below. - `elytraWidth`: Width of the elytra in centimeters. Indicated by the purple line in the image below. - `file_name`: Relative path to image from the root of the directory (`/.jpg`); allows for image to be displayed in the dataset viewer alongside its associated metadata. |![Figure 1](https://huggingface.co/datasets/imageomics/BeetlePalooza/resolve/main/beetles.png)| |:--| |**Figure 1.** Sample image of beetles with green and purple lines to indicate the measurement used for the elytra length and width, respectively. The red line marks the pixels for 1cm.| ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] This dataset was curated for use at [BeetlePalooza 2024](https://github.com/Imageomics/BeetlePalooza-2024/wiki) to help drive scientific discovery through machine learning and computer vision. ### Source Data The specimens come from [NEON sites](https://www.neonscience.org/), as indicated in the `BeetleMeasurements` CSV. They were identified by domain scientists (beetle experts) based on physical examination. Each sample consists of a single species. For more information about general NEON data, please see their [Ground beetles sampled from pitfall traps page](https://data.neonscience.org/data-products/DP1.10022.001). Isa Fluck photographed the beetles in each sample in 2022, using ``. #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? [More Information Needed] ### Annotations Annotations (elytra length and width) were completed in Zooniverse by Isa Fluck and two summer REU students (Riley Wolcheski and Isha Chinniah); annotator is indicated by their NEON system usernames in the `BeetleMeasurements` CSV. The annotations were repeated for a subset of the images to measure observation error introduced in the annotation process. Taxonomic labels were provided by NEON with the samples. #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data [More Information Needed] ### Bias, Risks, and Limitations [More Information Needed] ### Recommendations [More Information Needed] ## Licensing Information [More Information Needed] ## Citation [More Information Needed] **BibTeX:** ## Acknowledgements The National Ecological Observatory Network is a program sponsored by the National Science Foundation and operated under cooperative agreement by Battelle. This material uses specimens and/or samples collected as part of the NEON Program. Additionally, this material is based upon work supported by the National Science Foundation under [Award No. 2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) ([Imageomics](https://imageomics.org): A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning), and under Award Numbers [2301322](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2301322&HistoricalAwards=false) and [2242803]() and the USDA National Institute of Food and Agriculture, Hatch Project [Number ME0-22425]() through the Maine Agricultural and Forest Experiment Station. 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. ## Glossary ## More Information ## Dataset Card Authors [More Information Needed] ## Dataset Card Contact [More Information Needed--optional]