Goat Image Dataset

Published: 17 September 2020| Version 2 | DOI: 10.17632/4skwhnrscr.2
Masum Billah,


Two different types of image datasets are uploaded. The first dataset (dataset_1) is useful for detection purpose. This consists of a total 1680 goat image where the face, eye, mouth and ear bounding boxes are given in YOLO format. On the other hand, the second dataset (dataset_2) is for face recognition and facial expression analysis. In total 1311 images are captured from 10 individuals of a Chinese farm. Finally, "yolov4-custom_best.weights" and "yolov4-tiny-custom_final.weights" are the trained weights for face, eye, mouth and ear detection.



Northwest Agriculture and Forestry University


Goat Behavior, Facial Recognition, Pain Assessment, Detection System, Convolutional Neural Network, Deep Learning, Animal Health Monitoring System