Recognition of Holstein Cattle with Thermal and RGB images

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.

<a href="https://doi.org/10.24433/CO.3862266.v1">Here</a> is the link to the scripts that reproduce the results reported in the paper, and the following is the <a href="https://github.com/ameybhole/CORF3D_HCR">link</a> to the GitHub repository that contains all the scripts