How to annotate
Learn how to use labeling toolboxes, create you first annotations and a little bit more
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Learn how to use labeling toolboxes, create you first annotations and a little bit more
Last updated
Was this helpful?
You can learn more about Labeling, such as labeling of videos and 3D point clouds, using AI-assisted labeling and more in
Once you've , let’s annotate them with our multiple annotation tools - , , , , , , effectively supports 1000+ objects per image.
Click on the project you’ve just created. This will open the list of datasets (subfolders) inside your project (you can learn more about data organization ). Depending on whether you uploaded a set of folders with images or just images directly, there may be one or more datasets.
At the top of this page you will find more tabs, such as classes and tags. There you can define a meta information, shared across all of the datasets inside a particular project. Let’s focus on classes first.
Now, let’s go to the classes tab and click the New
button. Let’s enter some title to it, select a shape (let’s select “bounding box” for this one) and click Save
.
Awesome! Now, switch back to the Data tab and click on any dataset. Once you're inside the dataset, selecting any image or clicking the Annotate
button will bring up a dialog asking you to choose a labeling toolbox ( yeah, we have lots!). Select an “Image labeling toolbox 2.0”. A new tab should appear with your dataset in the labeling toolbox.
Now, let’s hover the cursor over any object on your image and make two clicks to form a rectangle around it. You will see a new object in the right sidebar at the Objects
tab. Done!
You can also check our blog post on how to label with bounding boxes:
A class allows you to define a type of your annotations. Every annotation object must have exactly one class. For example, you can define a class “Car” and limit it the shape “bounding box”: now, if you define a and assign your to annotate a bunch of images with “Cars”, they will only be able to place bounding boxes and label them as “Cars” (unless you configure more classes, of course).
From the left toolbar select a tool that corresponds to your class shape, in our case, to create bounding boxes. You can hover your cursor over the particular tool button and check the description.
You rock! Now, you can explore other labeling tools (such as , or ), more advanced tools, such as video or — or continue our journey and see how works in Supervisely.