This disclosure proposes an image recognition method and apparatus. The method comprises: obtaining an image to be recognized; inputting the image into a first preset block of a residual neural network, to obtain a first image feature corresponding to the image; inputting the first image feature into a second preset block of the residual neural network, an attention model, a first convolution layer, and a pooling layer arranged in this order, to obtain first label information corresponding to the image, which has a label correlation representation; inputting the first image feature into a second convolution layer and a bidirectional neural network arranged in this order, to obtain second label information corresponding to the image, which has a label correlation representation; and determining label information corresponding to the image in accordance with the first label information and the second label information.