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Beef Cattle Muzzle/Noseprint database for individual identification

Name: Beef Cattle Muzzle/Noseprint database for individual identification
Keywords: livestock, classification, individualization, biomarker, animal

appsOther research productkeyboard_double_arrow_right Image 03 Mar 2022Publisher:Zenodo

Authors: Xiong, Yijie; Li, Guoming; Erickson, Galen;

doi: 10.5281/zenodo.6324360 , 10.5281/zenodo.6324361

Beef Cattle Muzzle/Noseprint database for individual identification

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Abstract

This dataset contains muzzle/noseprint images for beef cattle. A total of 4923 muzzle images for 268 feedyard yearlings in the Midwest US were collected from March to July 2021, using a mirrorless digital camera (26 MP maximum resolution) and a 70-300 mm F4-5.6 focal lens. All images were taken outside of the pen did not create any contact or interference with the animals. These images covered three common US feedyard cattle breeds, including Angus, Angus x Hereford, and Continental x British cross). This database only contains the clean and cropped images showing the cattle muzzle area. All images are housed in individual folders in the .zip file: “BeefCattle_Muzzle_database.zip”. Each folder contains pictures from the same animal. On average, there were more than 12 images collected for each animal.

Related Organizations

University of Nebraska System
United States
Iowa State University
United States

Keywords

livestock, classification, individualization, biomarker, animal

1 Research products, page 1 of 1

Individual Beef Cattle Identification Using Muzzle Images and Deep Learning Techniques
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