Object recognition & detection

For this type of project, you can use the Object recognition & detection preset.

This preset is designed to outline objects in images for training computer vision to detect them.

Take a look at the example: the labeling interface includes an image with bounding boxes, polygons, or key points. Note that validation, keyboard shortcuts, and task layout are already configured in this example.

If this preset doesn't meet your needs, see other examples in this section.

Add a description

To add a detailed description to the task, use the label property of the field.image-annotation component.

Add a response field

To let Tolokers leave comments about the task or their response, add a text field using field.textarea. You can place it in the view.list along with the field.image-annotation component.

Add a layout

To enhance Toloker's experience, you can highlight different types of data with colors using view.alert. You can place it in the view.list along with the field.image-annotation component.

In this example, the text is highlighted with a yellow border.

See also

• Tutorials: Object recognition & detection

Last updated: February 10, 2023