奶牛个体头部多模态图像深度学习训练数据集  

A dataset of deep learning training for multimodal head images of individual cows

作　　者：杜林煊 曹姗姗 刘婷婷[1,2] 孙伟 孔繁涛[3] DU Linxuan;CAO Shanshan;LIU Tingting;SUN Wei;KONG Fantao(Agricultural Information Institute of CAAS,Beijing 100081,P.R.China;National Agriculture Science Data Center,Beijing 100081,P.R.China;Institute of Agricultural Economics and Development of CAAS,Beijing 100081,P.R.China)

机构地区：[1]中国农业科学院农业信息研究所,北京100081 [2]国家农业科学数据中心,北京100081 [3]中国农业科学院农业经济与发展研究所,北京100081

出　　处：《中国科学数据(中英文网络版)》2025年第1期4-13,共10页China Scientific Data

基　　金：国家重点研发计划(2024YFD2000305);中国农业科学院科技创新工程(10-IAED-RC-09-2024);新疆生产建设兵团农业关键核心技术攻关项目(NYHXGG2023AA310-06)。

摘　　要：随着农业现代化与精准农业的推进,畜牧业的智能化与精准化管理在动物健康监测、养殖过程管理以及精准养殖等领域展现出广泛的应用前景。基于图像分析的非接触式健康监测技术,利用计算机视觉与红外成像,可实时监控奶牛的生理状态和行为特征,为疾病预警与生产管理优化提供支持。本研究构建了一个涵盖奶牛个体头部多模态图像的数据集,包含50头奶牛在自然活动状态下,不同光照条件(昼间和夜间)下采集的图像数据。本数据集包括2636组经过配准的可见光图像(VIS)和红外热成像图像(IRT),并对IRT图像中的奶牛头部区域进行了精确标注。通过模糊检测、图像质量评估和数据增强等技术优化了数据质量,确保数据多样性和真实性。本数据集可为跨模态学习、图像配对与行为分析研究提供基础,助力智能监测系统与精准农业的发展。With the advancement of agricultural modernization and precision agriculture,the intelligent and precision management of livestock farming has shown great potential for applications in areas such as animal health monitoring,farming process management,and precision farming.Leveraging computer vision and infrared imaging,image analysis-based non-contact health monitoring technologies enable real-time monitoring of cows’physiological states and behavioral characteristics,which can support early disease detection and production management optimization.This study develops a dataset of multimodal head images of individual cows,comprising images collected from 50 cows under natural activity conditions and varying lighting environments(daytime and nighttime).The dataset includes 2,636 pairs of co-registered visible light(VIS)images and infrared thermographic(IRT)images,with precise annotations of cow head regions in the IRT images.Techniques such as blur detection,image quality assessment,and data augmentation were employed to optimize data quality,ensuring diversity and authenticity.This dataset can serve as a foundation for research on cross-modal learning,image pairing,and behavioral analysis,contributing to the development of intelligent monitoring systems and precision agriculture.

关 键 词：奶牛个体检测 红外测温图像 多模态数据 精准农业 奶牛健康监测 深度学习 

分 类 号：S823[农业科学—畜牧学] TP391.41[农业科学—畜牧兽医] TP18[自动化与计算机技术—计算机应用技术]