Feed Bunk Score Images - FBSI

Published: 16 December 2022| Version 1 | DOI: 10.17632/p9cr67s6jp.1
Contributors:
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, Luiz Maciel,

Description

The Feed Bunk Score Images - FBSI dataset is a set of images of leftover rations on feed bunks in feedlot cattle. These images are used for reading and classification of the bunk score. This technique is a visual assessment and consists of analyzing the amount of feed left in the bunk over the last 24 hours. For each volume of leftovers, specific scores are assigned suggesting adjustments in the amount of feed to be provided during the day, according to the needs of the animals in each herd. The dataset is composed of 1511 images of 6 different scores. These images represent different diet compositions according to the farms. Furthermore, in this dataset, the feed bunks differ in terms of their material and model. Most feed bunks are made of cement, but some are made of wood with the background covered in rubber or plastic material.

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Institutions

Universidade Federal de Minas Gerais, Universidade Federal de Juiz de Fora

Categories

Computer Vision, Animal Feeding, Machine Learning, Image Classification, Livestock Management, Deep Learning

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