Method, device and equipment for annotating image and obtaining image annotation model

Abstract

The invention discloses a method, device and equipment for annotating an image and acquiring an image annotation model, and belongs to the technical field of image processing. The method comprises the steps that a first image is acquired, and at least one to-be-labeled target object exists in the first image; obtaining feature maps of a plurality of sizes of the first image, wherein the feature map of each size in the feature maps of the plurality of sizes comprises a plurality of first feature vectors; selecting a first feature vector meeting a screening condition from the first feature vectors of the feature maps of the multiple sizes to obtain a first feature vector corresponding to the at least one target object; and obtaining correlation data between the first feature vectors corresponding to the at least one target object, and labeling each target object in the at least one target object based on the correlation data. By selecting the first feature vector meeting the screening condition, the calculation amount when the target object is labeled is controlled, and the labeling efficiency is improved. And the target object is labeled based on the correlation data between the first feature vectors, so that the labeling accuracy is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular, to an image annotation, a method, an apparatus, and a device for obtaining an image annotation model. Background technique [0002] With the development of image processing technology, more and more application scenarios need to annotate target objects in images. For example, in a road monitoring scenario, the vehicle (target object) in the image is marked to facilitate the supervision of the driving specification of the vehicle on the road. [0003] In the related art, when performing image annotation, a rectangular area is extracted from the image, and then the position of the target object with non-uniform shapes in the rectangular area is predicted, so as to mark the target object from the image. [0004] The above-mentioned image annotation method can only extract a rectangular area from the image. For the target objects with non-unifo...

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Problems solved by technology

[0004] Since the above image annotation method can only extract a rectangular area from the image, for target objects with non-uniform shapes, the rectangular area will introduce a lot of unnecessary background, and the calculation of image annotation is large and the efficiency is low.

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