For this type of project, you can use the Hand gesture classification preset.
This preset helps you classify video content by specified categories. You can use it for content rating and moderation, detecting noise and other imperfections in the video, or training computer vision.
Take a look at the example: the labeling interface includes a video player, and several buttons for categories. Note that validation, keyboard shortcuts, and task layout are already configured in this Template Builder sample code.View example
You can add media files (audio files, videos, images) from your own server, a cloud storage like Google Cloud, Amazon AWS, or Yandex Cloud.
If this preset doesn't meet your needs, see other examples in this section.
To add a detailed description to the task, use the view.text component.
To let Tolokers leave comments about the task or their response, add a text field using field.textarea.
In this example, the description is highlighted with a blue border, and the buttons are highlighted with a yellow one.
Decide whether a Toloker can select only one or multiple answer options.
The helper.if component displays an interface element after a specific response is selected. In this example, a Toloker can only select correct statements about the video if it is loaded.
If you need to check sequentially more than two conditions, use the helper.switch component.
Add a button that opens the search results and generate a search query link using the helper.search-query component. To make sure that a Toloker clicked on the link and checked its contents, configure validation, as in the example.
This is a more complex example that compares the video with the results of a search query. The following components are added:
Place the video next to the text or audio using the view.list component.
Last updated: February 10, 2023