Recognition of Holstein Cattle with Thermal and RGB images

DOI

This data set was collected from the Dairy Campus in Leeuwarden (The Netherlands) with a FLIR E6 thermal camera over a period of 9 days. It consists of 3694 images of 383, with each cow represented with an average of 9 images. Each snapshot created two images; 1) RGB and ii) Temperature. The image filenames are in the format [cow_id-4 digits][day no-1 digit][counter-1 digit].

The timestamp.xlsx file indicates the day number (day 1 to day 9) of when an image in the data set was collected. This allows to design and run leave-one day-out cross validation, the same as we did in our paper.

Here is the link to the scripts that reproduce the results reported in the paper, and the following is the link to the GitHub repository that contains all the scripts

Identifier
DOI https://doi.org/10.34894/7M108F
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/7M108F
Provenance
Creator Bhole, Amey ORCID logo; S. Udmale, Sandeep ORCID logo; Falzon, Owen ORCID logo; Azzopardi, George ORCID logo
Publisher DataverseNL
Contributor Digital Competence Centre
Publication Year 2021
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Digital Competence Centre (University of Groningen)
Representation
Resource Type Dataset
Format application/zip; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 1175178203; 60462180; 265614419; 69549046; 161500
Version 1.1
Discipline Other