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.
-
field.image-annotation: Lets you select areas using points, rectangles, and polygons.
Show code{ "type": "field.image-annotation", "image": { "type": "data.input", "path": "image" }, "fullHeight": true, "data": { "type": "data.output", "path": "result" }, "validation": { "type": "condition.required", "hint": "Please select an area" } } -
condition.required: Checks if at least one area is selected.
Show code{ "type": "condition.required", "hint": "Please select an area" } -
plugin.toloka: Customizes the task layout.
Show code{ "type": "plugin.toloka", "layout": { "kind": "pager" } } -
plugin.field.image-annotation.hotkeys: Sets hotkeys to select area types and selection modes and to confirm or cancel area creation.
Show code{ "type": "plugin.field.image-annotation.hotkeys", "labels": [ "1", "2", "3", "4", "5" ], "modes": { "select": "q", "point": "w", "rectangle": "e", "polygon": "r" }, "confirm": "a", "cancel": "s" }
Note
You can add media files (audio files, videos, images) from your own server, Yandex Disk, or a cloud storage like Yandex Cloud, Google Cloud, or Amazon AWS.
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.
{
"type": "field.image-annotation",
"image": {
"type": "data.input",
"path": "image"
},
"fullHeight": true,
"label": "Look at the picture and outine the road signs",
"data": {
"type": "data.output",
"path": "result"
},
"validation": {
"type": "condition.required",
"hint": "Please select an area"
}
}
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.
{
"type": "field.textarea",
"label": "Comments",
"placeholder": "Enter text",
"data": {
"type": "data.output",
"path": "comment"
}
}
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.
{
"type": "view.alert",
"theme": "warning",
"content": {
"type": "view.text",
"content": "Look at the picture and outline the road signs"
}
}