An image processing method for implementing image recognition using a distributed computing framework is provided. In the method, an image sample data set is obtained by processing circuitry of an image processing apparatus. The image sample data set includes a plurality of image samples. The image sample data set is divided by the processing circuitry into image sample sub-blocks according to a quantity of the image samples in the image sample data set and a quantity of computing nodes of the distributed computing framework. The image sample sub-blocks are distributed by the processing circuitry to the computing nodes. Each of the computing nodes performs image recognition sample training based on the one of the image sample sub-blocks distributed to the respective computing node and obtains a training result corresponding to each image sample in the one of the image sample sub-blocks.