Target detection method, device and computer-readable storage medium
A target detection and target technology, applied in the computer field to achieve the effect of improving accuracy
Active Publication Date: 2020-12-22
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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[0005] A technical problem to be solved in this disclosure is: how to realize the training of the target detection model in the case of incomplete labeling of the training samples, so as to realize the detection of multiple targets
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[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way intended as any limitation of the disclosure, its application or uses. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.
[0029] The present disclosure provides a target detection method, combined below figure 1 to describe.
[0030] figure 1 is a flowchart of some embodiments of the methods of the present disclosure. Such as figure 1 As shown, the method in this embodiment incl...
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The present disclosure relates to a target detection method, device and computer-readable storage medium, and relates to the technical field of computers. The disclosed method includes: identifying the category of the target marked in the training sample picture; according to the category of the target marked in the training sample picture, inputting the features of the training sample picture output in the feature extraction sub-network in the target detection model into the marked category The corresponding target detection subnetwork is used to train the target detection model. The target detection model includes a feature extraction subnetwork and different target detection subnetworks corresponding to multiple categories; input the pictures to be detected into the trained target detection model to detect Objects in the image to be detected. The disclosure can integrate training samples with different labels, and realize the training of a multi-target target detection model in the case of incomplete labeling of the training samples, thereby improving the accuracy of target detection.
Description
technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a target detection method, device and computer-readable storage medium. Background technique [0002] Object detection is one of the basic tasks in computer vision. Machine learning models are used to judge whether there is a certain type of object in the image and the location of the object. [0003] Some current target detection algorithms can output multiple categories of target recognition results for an image. For this multi-category target detection algorithm, it is necessary to label all the categories of targets that exist in the training sample pictures. Contents of the invention [0004] The inventors found that the existing target detection algorithms all have high requirements for training data and require a large number of annotations. In practical problems, the acquisition of training data is often the most difficult. A common situation is that tr...
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IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/25G06F18/241G06F18/214
Inventor 叶韵吕晓磊
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD