Method, device, and computer program product for model updating

An electronic device, comprising:

• at least one processor;
• and
• at least one memory storing computer program instructions, wherein the at least one memory and the computer program instructions are configured to cause, together with the at least one processor, the electronic device to perform actions including:
• acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object;
• updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version of the object verification model, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object;
• determining the accuracy of the second version of the object verification model;
• and
• updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model, wherein the number of images in the second image set is greater than the number of images in the first image set, and the second annotation information indicates whether a corresponding image in the second image set includes a desired object.

A computer program product tangibly stored on a non-volatile computer-readable medium and comprising computer-executable instructions, wherein the computer-executable instructions, when executed, cause a device to perform actions comprising:

• acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object;
• updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version of the object verification model, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object;
• determining the accuracy of the second version of the object verification model;
• and
• updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model, wherein the number of images in the second image set is greater than the number of images in the first image set, and the second annotation information indicates whether a corresponding image in the second image set includes a desired object.