Abstract: An image data processing method, a system and an electronic device are provided. The method includes: recording to-be-processed database data as a target image set; performing sharpness calculation on target images in the target image set by a weighted gradient algorithm, and removing, if sharpness of at least one target image is smaller than a threshold, the at least one target image from the target image set; performing sharpness enhancement processing on remaining target images in the target image set; extracting feature points in the target images in the target image set and the contrast image, one by one or at intervals; and comparing and judging similarity between the target images and the contrast image by a similarity algorithm, and inputting similar target images into classified storage spaces.

Abstract: The present disclosure provides a group training action correction system and method combining face and gesture recognition, wherein the system includes an individual action correction moment determination module, which is configured to determine a nearest individual action correction moment after a current training progress on a preset training progress axis; and an individual action correction module, which is configured to correct and prompt individually action for the action correction object based on a standard gesture, an action to be corrected, and a personnel identity when entering the individual correction moment.

Abstract: An image data processing method, a system and an electronic device are provided. The method includes: recording to-be-processed database data as a target image set; performing sharpness calculation on target images in the target image set by a weighted gradient algorithm, and removing, if sharpness of at least one target image is smaller than a threshold, the at least one target image from the target image set; performing sharpness enhancement processing on remaining target images in the target image set; extracting feature points in the target images in the target image set and the contrast image, one by one or at intervals; and comparing and judging similarity between the target images and the contrast image by a similarity algorithm, and inputting similar target images into classified storage spaces.