Images of Pigs at Different Stages From a Group of Shandong Farms

(1)A set of images of pigs in different stages from Shandong, China. After,years of image acquisition, more than one images, videos and video frame extraction images of piglets (including piglets around 50 days old and 70-80 days old), fattening pigs, sows and male breeding pigs were collected.(2) The dataset contains 63 images for piglets around 50 days, 139 images for those between 70 and 80 days, 91 images for fattening pigs at 160 days and 26 images for sows.(3) The dataset contains 1 video for piglets at about 50 days, 3 videos for those at 70-80 days, 5 videos for fattening pigs at 160 days, 4 videos for sows, and 4 videos for male breeding pigs.(4) Pig dataset from pig farms in Shandong for visual feature-based classification.(5) The dataset of multi-class problem is called multi-class problem because it has visual features such as reducing the chance of overfitting, improving accuracy, and reducing the training time of the model.

（1）本数据集汇聚了来自中国山东不同生长阶段的猪的图像。经过多年的图像采集，收集了包括约50天和70-80天大的幼猪、育肥猪、母猪和公种猪的超过一张图像、视频及其帧提取图像。（2）数据集中包含约50天大幼猪63张图像，70至80天大幼猪139张图像，160天育肥猪91张图像，以及母猪26张图像。（3）数据集中包含约50天大幼猪1段视频，70-80天大幼猪3段视频，160天育肥猪5段视频，母猪4段视频，以及公种猪4段视频。（4）该数据集来源于山东猪场，旨在基于视觉特征进行分类。（5）该多类问题数据集被称为多类问题数据集，因其包含如降低过拟合风险、提升准确率以及缩短模型训练时间等视觉特征，故得名。