--- title: Content-based Image Retrieval type: templates category: Ranking and Scoring cat: ranking-and-scoring order: 425 meta_title: Content-based Image Retrieval Data Labeling Template meta_description: Template for labeling data for content-based image retrieval tasks with Label Studio for your machine learning and data science projects. --- If you want to train a machine learning model on content-based image retrieval computer vision tasks, use this template. This labeling configuration displays an image and prompts annotators to select a choice corresponding to one or more similar images. ## Interactive Template Preview
## Labeling Configuration ```html
``` ## About the labeling configuration All labeling configurations must be wrapped in [View](/tags/view.html) tags. Use an [Image](/tags/image.html) object tag to specify the location of the image to use for the query: ```xml ``` You can add a [header](/tags/header.html) to provide instructions to the annotator: ```xml
``` Use styling in the [View](/tags/view.html) tag to wrap multiple [Image](/tags/image.html) object tags to display multiple images in a grid: ```xml ``` Use the [Choices](/tags/choices.html) control tag to display choices that apply to the original image, require a response, and allow annotators to select multiple choices: ```xml ``` Use the [Style](/tags/style.html) tag to apply additional CSS styles to the div form classes used on the labeling interface to further enhance the grid: ```xml ``` The `[dataneedsupdate]` option associates the styling with the object tags used in the labeling configuration. ## Related tags - [Image](/tags/image.html) - [Header](/tags/header.html) - [View](/tags/view.html) - [Choices](/tags/choices.html) - [Style](/tags/style.html)