The Cow Dataset contains 400 images of 2 classes of cows. The data is split into 180 training images and 20 testing images, where each class has been split roughly in a 9-1 split.
Distinguishing between fat and thin in common animals will be more difficult than in normal classification problems, below are my instructions in the case of this dataset, which I refer to from "PET-Livestock, Karamoja. A Pictorial Evaluation Tool for Body Condition Scoring Livestock and Forage Assessment in Karamoja, Uganda".
--dataset:
--train
--thin
--0001.jpg
--0002.jpg
--fat
--00001.jpg
--00002.jpg
--val==test
--thin
--0001.jpg
--0002.jpg
--fat
--00001.jpg
--00002.jpg
This tutorial will help us distinguish 5 different types of cows, here we are only interested in cs1 and cs5. See more at here
[1]. PET-Livestock, Karamoja. A Pictorial Evaluation Tool for Body Condition Scoring Livestock and Forage Assessment in Karamoja, Uganda