cow face and keypoint detection dataset

Facial and key point detection in dairy cows can assist farms in building recognition systems and estimating cow facial postures. This dataset was primarily collected in Lu'an, Anhui Province, and Huai'an, Jiangsu Province.This dataset contains 2,538 images of Holstein cow faces under various conditions, including different lighting, occlusions, levels of blurriness, angles, as well as flipping, noise, and both single and multiple cows.The Labelme software was used to annotate the cow's facial detection bounding box and five key points including the left and right eyes, nose, and the corners of the mouth, which helps to advance the development of cow facial detection and pose estimation.

奶牛面部与关键点检测技术可助力养殖场搭建识别系统，并实现奶牛面部姿态的预估。本数据集主要采集于安徽省六安市与江苏省淮安市。该数据集包含2538张荷斯坦奶牛（Holstein）的面部图像，涵盖多样化采集场景，包括不同光照条件、遮挡情况、模糊程度、拍摄角度，同时存在图像翻转、噪声干扰，且包含单头奶牛与多头奶牛的样本。研究人员采用Labelme软件对奶牛面部的检测边界框，以及左右眼、鼻部、嘴角共5个关键点进行标注，以此推动奶牛面部检测与姿态估计技术的发展。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于奶牛面部和关键点检测的数据集，旨在辅助农场构建识别系统并估计奶牛面部姿态。它包含2,538张荷斯坦奶牛面部图像，采集自安徽六安和江苏淮安，涵盖多种条件（如光照、遮挡、模糊等），并使用Labelme软件标注了面部边界框和五个关键点（左眼、右眼、鼻子、嘴角），以推动奶牛面部检测和姿态估计的发展。