面向畜禽肉加工领域的畜类胴体分割的数据

数据集内容：包括33张猪类胴体图像数据和37张禽类翅膀，主要用于进行畜类自动化智能分块（前后段下刀点的位置）的下刀电荷切割路径的规划。采集方案：首先，根据任务定位需求确定图像数据集的维度类别，采集胴体二维图；其次，使用手机采集生产加工车间猪胴体、鸡胴体数据，并对收集到的数据进行筛选（将采集到的未能包含完整猪胴体的数据剔除）；最后，通过相关算法统计胴体体长数据，为下一步体长分块提供先验信息确定分割路线。

Dataset Content: The dataset includes 33 images of porcine carcasses and 37 images of poultry wings, which are primarily used for planning the cutting path for automatic intelligent segmentation of livestock, with the positions of the cutting points for the front and rear segments taken into account. Collection Protocol: First, determine the dimensional categories of the image dataset based on task positioning requirements, and collect 2D carcass images; second, use mobile phones to collect data of porcine and chicken carcasses in the production and processing workshop, and screen the collected data by eliminating those that do not contain complete porcine carcasses; finally, use relevant algorithms to calculate the body length data of the carcasses, which provides prior information for subsequent body-length-based segmentation and helps determine the final segmentation route.

搜集汇总

背景与挑战

背景概述

该数据集包含33张猪类胴体图像和37张禽类翅膀图像，总计70个文件，数据量为73.44MB，主要用于畜类自动化智能分块的下刀电荷切割路径规划。数据采集自生产加工车间，经过筛选和算法处理，为畜类胴体分割提供先验信息。