AI-assisted Semantic Segmentation labeling
Draw semantic segmentation masks dramatically faster with our AI assisted interactive annotation tool.
Start for freeWe call it Magic Segment
![Automatic semantic segmentation Use cases](/assets/img/annotation-platform/magic-segment/automatic-semantic-segmentation-use-cases.png)
Create object boundaries automatically
Draw object boundaries upto 5x quicker for a wide variety of use-cases without the need for custom training of ML models.
Don't stop at the first output
Magic segment is an interactive tool. Once a boundary is drawn, you can instruct the tool to include or exclude a region of the object and the boundary will be automatically adjusted.
Flexible to all use-cases
The tool's interactive nature allows it to be effective in a variety of object types - small objects, large structures as well as objects without a differentiated boundary.
![Instance segmentation](/assets/img/annotation-platform/magic-segment/warehouse-sam-segmentation-cropped.png)
Instance & Panoptic Segmentation
Identify and separate individual objects within an image by drawing object boundaries for each instance of the object.
Combine semantic and instance segmentation into a single image and create high quality datasets for Panoptic segmentation.
Get more done in less time
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Divide work in batches
Automatically divide your tasks into batches so the work can be divided evenly within your team.
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Reviewers
Assign labelers and reviewers to each batch to ensure high quality annotation.
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Annotation modes
Move your batches into Annotation, Validation or Completed modes to keep track of exactly how much work remains to be done
![Annotation modes and batches](/assets/img/annotation-platform/common/batches_annotation_modes.webp)
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Task management
Create tasks to start labeling. Then group related tasks into projects, and assign projects to your users
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User permissions
Assign different roles to your users to easily keep permissions in check.
![Annotation project management](/assets/img/annotation-platform/common/projects_user_roles.png)
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Mark issues
Free-flowing communication is key to ensuring high quality annotations. Pin-point mistakes within your data with issues.
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Chat with team-members
Talk with your team-members right within an issue to get to the source of the problem.
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Measure quality
Use number of resolved and unresolved issues as a measure of the quality of annotations of a task.
![Annotation modes and batches](/assets/img/annotation-platform/common/annotation_issue_management.webp)
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Time your annotation tasks
Know exactly how much time each member of your team spent annotating data.
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Annotation mode breakdown
See how much time your team spent in each of the 3 annotation modes. This information is available at batch as well as task level.
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Share with all stakeholders
Export the information as CSV and share it with your team or end customers.
![Annotation analytics](/assets/img/annotation-platform/common/annotation_analytics_banner.png)
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Create releases
Export your data as a release and name it so you can identify it later. Keep the last 5 releases so you can download them anytime.
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Choose what to export
Choose the batches you want to export, so you dont have to download everything everytime something is updated
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Export formats
Export your LIDAR annotations in KITTI format. More formats are coming very soon!
![Annotation Releases](/assets/img/annotation-platform/common/annotation_releases_banner.png)