Hello folks,

Zia intelligently validates the image fields of a record based on training images you've provided, which helps reduce the amount of time users spend manually validating images. We've now made some enhancements to this feature, with the major one being the addition of the match and detect option.

Let's say we're using Zia to validate product images on an ecommerce platform.

We use the match option to ensure that these images match the color, design, and overall quality of the reference images. For example, a seller uploads an image of a red dress and Zia validates it based on how closely it matches the reference images used for training.

The detect option helps sellers validate product images where the product forms a part of the image. Say you want to upload product images of sofas, and you want the images to contain a sofa in a room. When a seller uploads such an image, Zia will try to detect the sofa within that image.

Now, we've added the option to do both in a single rule. This improves the accuracy of validation, as an image will be approved only if both of the following are present:

For example, let's say you want to match the product images of laptops but also ensure that the webcam, screen, keyboard, trackpad, and so on are present as well. By using this method, you can ensure that tablets, desktops, and other objects are not mistakenly approved.

The snapshot view gives you a quick visual breakdown of the training images related to a rule.