Object Detection
Last updated
Last updated
Use the Object Detection labelling task tool on DS2.ai to facilitate manual labelling.
1. Click on the Dataset in the top navigation bar.
2. Click to select the check box on the left side of the dataset for labeling. (If the dataset is not uploaded, refer to Upload Data and upload the data.)
3. Click the Start Labeling button at the top of the data list.
4. Enter a Project Name and Project Description(optional).
5. Set the Data Category to Object Detection and click the Next button.
Click the Class tab of the Labeling Project.
On the Class tab, click the Add Class button at the bottom left of the Tab menu.
Set the Class Name and Class Color and click the Enter button.
(For more Information, see Labeling > Labeling Project > Class.)
At least one class must be created to perform manual labeling.
Click on the Dataset in the top navigation bar.
Select the labeling project that you created in the previous step.
On the Dashboard tab of the labeling project, click the Start Manual Labeling button at the top.
DS2.ai supports bounding box, polyline, polygon, and magic tool labeling.
Label in a rectangular box. Drag the mouse to draw a square area after you have hit the starting point.
Labeling in the form of a line where the start and end points are not connected. Both linear and non-linear are available.
It refers to polygonal labeling that connects the start and end points. After taking a start point, return to the start point by marking each vertex.
Project Details Detailed description of the project and the progress of labeling are displayed.
Labeling Information After the project is created, you can check the specified labeling class.
Undo/Redo Cancels or reruns the most recent job history.
Shortcuts Displays a list of shortcuts currently set for each tool.
Ticklines When labeling, display or hide horizontal and vertical tick lines above the image file.
Labeling I have done You can check the number of labels for each of the bounding boxes, polygons, and magic tools that have been completed.
Tool-specific shortcuts are supported for easier labeling processes.
Do you have any other questions? [email protected]
After labeling the objects in the image, click the next() or save() button upper right corner.
Language Selection Select Korean and English through the flag selection.
List You can view the list of uploaded image files, or select a specific image for labeling to work with.
Previous Return to the previous task image. You can modify or verify the labeling operation of the previous image.
Save aves the current labeling progress.
Next Proceed to the next image.
Select Region Select to modify tags, etc.
Drag/Pan ove the image.
Zoom In/Out Zoom the image.
Show Tags Sets whether labeling tags are displayed.
Add Bounding Box Start labeling the bounding box.
Add Polyline Labeling the beginning of the polyline.
Add Polygon Start labeling polygons.
Add Magic Tool Start labeling with the Magic Tool.
