An object attribute identification method, apparatus and system, and a computing device in the technical field of technology vision of the artificial intelligence field. The method comprises: a computing device extracts features of M positions in a first image according to M attitude key points to obtain M position feature maps (S1); and inputting the M position feature maps to a first attribute identification model to obtain a first attribute identification result of a target object (S2). The first image is an original image or an original feature map obtained by extracting according to the original image; the original image comprises the target object; the target object comprises M positions; the M attitude key points have one-to-one correspondence to the M positions; the M positions have one-to-one correspondence to the M position feature maps. Before a first attribute identification model performs attribute identification on the target object, the first image is split into M position feature maps irrelevant to the attitude of the target object so that the influence of the attitude of the target object on the identification result is avoided, the attribute identification of the object is more accurate, and the robustness thereof is better.
OBJECT ATTRIBUTE IDENTIFICATION METHOD, APPARATUS AND SYSTEM, AND COMPUTING DEVICE