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.在动物监测场景中，计算机视觉技术已成为圈舍或密闭环境下的重要研究应用方向。受羊圈环境特性影响，从俯视视角开展牲畜检测存在较大挑战。本数据集命名为ICV-TxLamb，其图像数据用于羊圈内部的羔羊监测任务。该数据集包含两类标注体系：第一类为单只羔羊的个体分类任务；第二类为羔羊姿态分类任务，涵盖进食、睡眠、趴卧以及常态（站立或无明显活动）四种姿态状态。所有标注均基于观测场景中羔羊的自然行为动作完成设置。