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.

动物监测领域的计算机视觉（Computer vision）技术，已成为稳定或封闭环境下的重要研究应用方向。受畜棚内环境条件制约，从俯视视角检测牲畜存在显著挑战。本数据集命名为ICV-TxLamb，其采集的图像用于畜棚内羔羊的监测研究。该数据集包含两类标注任务：第一类为羔羊分类（即仅对图像中的羔羊进行识别与归类），第二类为羔羊姿态分类，涵盖四种状态：进食、睡眠、趴卧，以及正常状态（站立或无活动状态）。所添加的标注均结合观测场景中羔羊的自然活动行为完成。