Training data acquisition method and device, server and storage medium
AssigneeBaidu Online Network Technology (Beijing) Co., Ltd.
InventorsSu Li, Libo Fu
Life of this patent
Estimating the term…
Abstract
A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image. Thus, more high-quality training data can be obtained, improving the performance of a classifier.
Claims12
A training data acquisition method, applied to a classifier, comprising:
- obtaining an image search target according to an input of a user;
- providing images to the user according to the image search target, to display the images;
- and
- selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image;
- wherein the target-classification pair comprises the image search target and an entity-based classification of the at least one image.
A training data acquisition device, applied to a classifier, comprising:
- a search target acquiring unit configured to obtain an image search target according to an input of a user;
- an image providing unit configured to provide images to the user according to the image search target, to display the images;
- and
- a training data determining unit configured to select at least one image from the displayed images, and determine a target-classification pair according to the at least one image as training data;
- wherein the target-classification pair comprises the image search target and an entity-based classification of the at least one image.
Dependencies are inferred from the claim text.