Data paper: 2D and 3D images of pork carcasses associated with carcass and cut weights

Animal - Open Space Pub Date : 2026-12-01 Epub Date: 2025-12-16 DOI:10.1016/j.anopes.2025.100116
I.P. Siqueira, E.B. Schultz, P.C.S. Oliveira, C.L.C. Nunes, J. Barcellos, M.I. Hannas, M.L. Chizzotti
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引用次数: 0

Abstract

Data from 39 pork right half-carcasses that demonstrate the relationship between 2D and 3D images and carcass and cut weights are presented. All half carcasses were weighed after slaughter. Following 24 h of chilling, they were separated into primal cuts and individually weighed. Each half carcass was scanned by a portable 3D scanner, providing a raw 3D model. The 2D images were obtained by capturing screenshots of the lateral and dorsal views of the 3D models. In both 2D and 3D images, it is possible to extract information related to shape, colour, and texture. These features can be employed in the development of predictive models for half-carcass weight, individual cut weights, and the total yield of primary cuts. Moreover, such models hold potential applications in robotic systems for slaughterhouses as well as in educational settings. All data are being used to prepare a publication, but they may be reused and analysed using alternative methodologies and for different purposes.
数据文件:与胴体和切重相关的猪肉胴体的2D和3D图像
本文给出了39头右半截猪肉的数据,展示了二维和三维图像与胴体和切重之间的关系。屠宰后,所有一半的尸体都要称重。经过24小时的冷却后,将它们分成原始切口并单独称重。每个半胴体被便携式3D扫描仪扫描,提供一个原始的3D模型。2D图像是通过捕获3D模型的侧面和背面视图的截图获得的。在2D和3D图像中,都可以提取与形状、颜色和纹理相关的信息。这些特征可用于开发半胴体重、单个切割重和一次切割总产量的预测模型。此外,这些模型在屠宰场的机器人系统以及教育环境中具有潜在的应用。所有数据都是用来编写出版物的,但也可以使用其他方法为不同的目的重新使用和分析这些数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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