The embodiment of the invention discloses an object attribute identification method and device, a computing device and a system, and the method comprises the steps that the computing device extracts the features of M parts in a first image according to M posture key points to obtain M part feature maps, and then inputs the M part feature maps into a first attribute recognition model to obtain a first attribute recognition result of a target object. Wherein the first image is an original image or an original feature map extracted according to the original image, the original image comprises a target object, the target object comprises M parts, the M attitude key points are in one-to-one correspondence with the M parts, and the M parts are in one-to-one correspondence with the M part featuremaps. According to the embodiment of the invention, before the first attribute recognition model carries out attribute recognition on the target object, the first image is disassembled into M part feature maps irrelevant to the posture of the target object, so that the influence of the posture of the target object on the recognition result is overcome, the attribute recognition of the object is more accurate, and the robustness is good.