Abstract: The present disclosure relates an image processing method and device, and a storage medium. The method comprises: performing a feature equalization processing on a sample image by an equalization subnetwork of a detection network to obtain an equalized feature image of the sample image; performing a target detection processing on the equalized feature image by a detection subnetwork of the detection network to obtain predicted regions of a target object in the equalized feature image; determining an intersection-over-union of each of the predicted regions respectively; sampling the plurality of predicted regions according to the intersection-over-union of each predicted region to obtain a target region; and training the detection network according to the target region and a labeled region. The systems and techniques disclosed here can reduce information loss and improve the training effect and training efficiency.