Patent ID: 11869227
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An image recognition method comprising:
obtaining a first image;
obtaining training images that comprise the positive samples with a region in which a target object is located marked and the negative samples with a region in which a noise is located marked;
training parameters in an original model by using the training images, wherein the operation of training comprises:
inputting color data of the training images into the original model; and
training the parameters in the original model by using the inputted color data;

obtaining a target model from the trained original model, the target model being configured to recognize a target object, wherein a neural network model of the target model is trained by using the positive samples and the negative samples;
segmenting the first image into a plurality of first regions by using the target model;
searching for a target region among bounding boxes in the first image that use points in the first regions as centers, wherein the target region comprises a bounding box in the first image in which a target object is located; and
marking the target region in the first image.