Classifying cow stall numbers using YOLO
Dheeraj Vajjarapu
This paper introduces the CowStallNumbers dataset, a collection of images
extracted from videos focusing on cow teats, designed to advance the field of
cow stall number detection. The dataset comprises 1042 training images and 261
test images, featuring stall numbers ranging from 0 to 60. To enhance the
dataset, we performed fine-tuning on a YOLO model and applied data augmentation
techniques, including random crop, center crop, and random rotation. The
experimental outcomes demonstrate a notable 95.4\% accuracy in recognizing
stall numbers.