Iteration method and device for identification model

The invention relates to an iteration method and device for a recognition model, and the method comprises the steps: obtaining a first training sample which comprises data and annotation information which have a corresponding relation and are wrongly recognized by a first recognition model, wherein the first recognition model is used for executing a data recognition task; training an initial model corresponding to the first recognition model by using the first training sample to obtain a second recognition model; adding the first training sample to a second training sample so as to obtain a third training sample, wherein the second training sample is used for training a sample of an initial model corresponding to the first recognition model; and training the second recognition model by using a third training sample to obtain a third recognition model which is used for continuing to execute the data recognition task. According to the method and the device, the technical problem that the model recognition accur