Goat Image Dataset

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

Description

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.

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Institutions

Northwest Agriculture and Forestry University

Categories

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

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