--- title: Image Classification type: templates category: Computer Vision cat: computer-vision order: 135 meta_title: Image Classification Data Labeling Template meta_description: Template for classifying image data with Label Studio for your machine learning and data science projects. ---If you want to train a model to identify the type of content in images, for example for a content moderation use case, use this template to perform image classification with checkboxes. https://app.humansignal.com/b/MTk3" target="_blank" rel="noopener" aria-label="Open in Label Studio" style="all:unset;cursor:pointer;display:inline-flex;align-items:center;justify-content:center;border-radius:4px;border:1px solid rgb(109,135,241);padding:8px 12px;background:rgb(87 108 193);color:white;font-weight:500;font-family:sans-serif;gap:6px;transition:background 0.2s ease;" onmouseover="this.style.background='rgb(97 122 218)'" onmouseout="this.style.background='rgb(87 108 193)'"> Open in Label Studio ## Interactive Template Preview ## Labeling Configuration ```html
``` ## About the labeling configuration All labeling configurations must be wrapped in [View](/tags/view.html) tags. Use the [Image](/tags/image.html) object tag to specify the image to classify: ```xml ``` Use the [Choices](/tags/choices.html) control tag to display the choices available to classify the image: ```xml ``` You can modify the values of the [Choice](/tags/choice.html) tag to provide different classification options. Review the available arguments for the Choices tag for customization options. ## Enhance this template You can enhance this template in many ways. ### Add a sticky left column If you want the classification choices to appear to the left of the image, you can add styling to the [View](/tags/view.html) tag. ```xml ``` {% insertmd includes/nested-classification.md %} ## Related tags - [Image](/tags/image.html) - [Choices](/tags/choices.html)
