The embodiment of the invention provides an object part detection method and device,
electronic equipment and a storage medium, and the method comprises the steps: building a corresponding prior
loss function based on a logic association relationship between target part categories in a detection task, and carrying out the detection of target part types based on the built prior
loss function in a model training process, and enhancing the association relationship between the target part categories, so that the target detection model can determine the corresponding association constraint information between the to-be-output detection part categories according to the above steps, thereby optimizing the
false detection object part and the missing detection object part in the detection result, and improving the accuracy of the detection result. The accuracy of the detection result output by the target detection model is improved, further, in the model training process, additional data dimensions are not added, multi-round iterative training is performed on the model based on construction of a corresponding prior
loss function, the deployment cost is lower, the generalization ability of the target detection model is ensured, and the target detection efficiency is improved. And the deployability of the target detection model is improved.