We're starting a series of posts about task types in Toloka: what they are, how to access them, and what to keep in mind when performing tasks.
To classify something means to put different objects into groups or classes based on a set of predetermined features. For example, we can take a pile of stones and put each stone in one of three baskets: one for small stones, one for medium-sized stones, and one for large stones. This is the simplest form of classification.
In Toloka classification tasks, you'll be distributing objects into groups as well. In the tech industry, this process is known as data labeling. But instead of stones, you’ll be classifying things like images, audio and video recordings, chunks of text, or web pages. The task creators decide what parameters to base the classification on.
Number of objects in a single task: 5–10 or more.
Average time given to complete a task: 1–5 minutes.
Payment method: The reward is credited to your account immediately after you complete the task.
Reward per task: from $0.01 to $0.07 on average. Some rewards depend on your skill in that particular project.
Normally, you're shown an object with a list of categories or attributes next to it. The task is to determine which category the object belongs to. For example:
You may sometimes be asked to match multiple features with an object. For example, identify what exactly the user is looking for based on their search query. Or characterize an image based on multiple parameters.
By default, classification tasks are available to everyone. You don't need any special skills to perform them, and there are no device or operating system requirements. You can perform classification tasks both on the Toloka site and in the mobile app.
To get started:
Some task authors use the classified objects to create datasets for training artificial intelligence. This can be either a full-fledged dataset preparation or a stage of it. For example, the first step in preparing a dataset from thousands of photos is to select all the images with cats. The second step is to outline the cat silhouettes, and the third is to sort the cats by color.
Other authors use classification in Toloka to process data for their business. Their purposes are practical. For example, they might need help distributing products in their online catalog.