Labeled RGB and depth images for cattle body condition score prediction

This dataset contains a collection of preclassified Criollo cow RGB+depth
videos, as well as processed depth, grayscale, and edge images. The
dataset was previously used to train convolutional neural networks and
vision transformers to estimate body condition scores of cattle, and will
be useful to other researchers in need a high quaility visual dataset that
incorporates depth for the purposes of three dimensional representations
of cattle. The availability of compatible software and image processing
packages makes this dataset very robust and applicable to other areas of
both agricultural and machine learning research. This dataset has several
features that make it a good test of machine learning algorithms such as
low sample uniqueness and a slightly subjective metric.