The University of Sheffield
Browse
1/1
3 files

Data for: Using pose estimation to identify regions and points on natural history specimens [He et al]

dataset
posted on 2022-03-28, 21:06 authored by Christopher CooneyChristopher Cooney, Gavin ThomasGavin Thomas, Yichen He
Avian specimens

Total of 5094 images are stored in the img folder. ground_truth.csv and prediction.csv are the ground truth and predicted points coordinates, each point has two columns, x and y coordinates. The colour_*.csv files are the colour information of specimen body regions.

Littorina shells

Total of 1410 images are in the dataset with 676 images in the release folder and 735 in the recapture folder. ground_truth.csv and prediction.csv are the ground truth and predicted points coordinates, each point has two columns, x and y coordinates.

History

Ethics

  • There is no personal data or any that requires ethical approval

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files
  • There is a file including methodology, headings and units, such as a readme.txt

Usage metrics

    School of Biosciences

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC