Replace the samples with your categories. Set answer options is pre-filled with sample answers. Paste link to a sample image: This image is only used to display the task interface preview on the right. All tasks in a project use the same question. Question Tolokers will see in your task: Write a question that matches the responses Tolokers need to choose from. Using the Visual editor, add your data to the Config section: This tutorial uses Template Builder, but you can use the HTML/JS/CSS editor for the same purpose. This preset has a task template with validation, keyboard shortcuts, and task layout pre-configured.

In the Task interface section, set up what your tasks will look like. Name to show Tolokers: In 2–5 words, state the general idea of the project.ĭescription for Tolokers: In a couple of sentences, explain what you expect Tolokers to do. In the General information section, add the project name and description: We recommend starting with a project preset for easier configuration and better results.įollow this link, or create a project manually:Ĭlick Choose this preset in the pop-up tab. Toloka will display the budget estimate for your project. If you are unsure about the budget, you can do that later in this tutorial.

Make sure you are registered in Toloka as a requester. After you collect all the labeled images, you can apply your dataset for model training. Tolokers look at the images and choose one of the given categories. Use Toloka to classify a set of images into categories that you define. Image classification is a type of data labeling task with a finite number of response options. We will use a project preset designed specifically for this type of data labeling. In this tutorial, you will learn how to run image classification in Toloka.

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