The embodiment of the present disclosure provides an image identification system and an image identification method, and relates to the field of identification technology for improving the classification accuracy of the existing image classification model. The system includes an identification module, a retrieval module and a training module, wherein the identification module is configured to identify an image sample by using an image classification model to obtain an image category confidence coefficient of the image sample; the retrieval module is configured to retrieve similar artificial identification examples of the image sample when it is determined that the image category confidence coefficient is less than a first predetermined threshold; and the training module is configured to train the image classification model according to training samples in a training sample library; wherein the training samples include an artificial identification example and an image retrieval example with a high confidence coefficient.