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.