Recognition of common postures in lambs (ICV-TxLamb)

Computer vision in animal monitoring has become a research application in stable or confined conditions.Detecting animals from the top view is challenging due to barn conditions.In this dataset called ICV-TxLamb, images are proposed for the monitoring of lamb inside a barn.This set of data is made up of two categories, the first is lamb (classifies the only lamb), the second consists of four states of the posture of lambs, these are: eating, sleeping, lying down, and normal (standing or without activity ).The added tags have been considered by the natural movements that the lamb makes in the observed scene.动物监测中的计算机视觉技术，已成为封闭或圈养环境下的重要研究应用方向。受畜棚环境制约，从俯视视角开展动物检测存在显著挑战。本数据集命名为ICV-TxLamb，所采集的图像旨在用于畜棚内羔羊的监测任务。该数据集包含两类标注类别：第一类为羔羊（仅针对单只羔羊进行分类）；第二类为羔羊的四种姿态状态，分别为进食、睡眠、趴卧以及常态（站立或无明显活动状态）。本次标注标签的设置，均基于羔羊在观测场景中的自然行为运动特征。