Abstract: A fish identification method is provided. The fish identification method includes capturing an image through a processor, wherein the image includes a fish image. The fish identification method includes identifying a plurality of feature points of the fish image through a coordinate detection model and obtaining a plurality of sets of feature-point coordinates. Each of the plurality of sets of feature-point coordinates corresponds to each of the plurality of feature points. The fish identification method further includes calculating a body length or an overall length of the fish image according to the plurality of sets of feature-point coordinates of the image.

Abstract: An image recognition method includes the following steps. An original image with a first resolution is received, and the first resolution of the original image is reduced to generate a low-resolution image with a second resolution. The first resolution is higher than the second resolution. The position of a target object in the low-resolution image is identified using an object detection model to obtain the target object coordinates in the low-resolution image. A target object image is segmented from the original image according to the target object coordinates in the low-resolution image, and the target object image is input into the image classification model. The target object type that corresponds to the target object image is determined using the image classification model.