The invention discloses an incremental learning image classification training method under the big data scene. The method comprises steps that step 1, an initial image classifier is trained through utilizing original image data; step 2, if a new class image appears in an application process, incremental training of an initial model is carried out, and the image classifier after update is acquired; and step 3, to-be-classified images are identified through utilizing the trained image classifier, and test image classes are acquired. The method is advantaged in that the convolutional neural network is utilized to carry out image characteristic extraction, manual characteristic definition can be avoided, and the high identification degree is realized; the convolutional neural network is utilized to carry out image identification, memory occupation is small, the calculation speed is fast, incremental leading of the new class image can be carried out, storage of the original training data is not needed, the training time and the storage time can be substantially saved, and the method is especially suitable for big data image classification occasions.