Automation Workflow
Run automated workflows within Unitlab Annotate
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Run automated workflows within Unitlab Annotate
Last updated
Was this helpful?
Automation Tab | Unitlab AnnotateUnitlab's Automation Workflow feature enables seamless integration of multiple AI models within a single project, facilitating complex annotation tasks that require diverse labeling types, such as instance segmentation, bounding boxes, and image OCR. This functionality allows for the simultaneous application of various AI models during automated annotation processes, enhancing efficiency and accuracy.
Multi-Model Integration: Combine multiple AI models within a single project to handle complex annotation tasks requiring different labeling types.
Custom AI Model Support: into automation workflows, offering flexibility and customization.
Automated Annotation: Utilize workflows during or tasks, where the system applies the specified models automatically.
In your project dashboard, click on the Automation tab.
Click on Create Automation.
Provide a name for your automation workflow.
Add the desired AI models to the workflow by selecting them from the available options.
Configure the settings for each model:
Confidence: Set the minimum confidence threshold for valid predictions (e.g., 0.7 for 70%).
IoU Threshold: Define the Intersection-over-Union threshold used by Non-Maximum Suppression (e.g., 0.25 for 25%).
Max Detections: Specify the maximum number of detections allowed per image (e.g., 300).
Save and run the automation workflow.
Batch Auto-Annotation: Run the workflow on multiple images simultaneously to annotate large datasets efficiently.
Crop Auto-Annotation: Manually select specific regions within images to apply the workflow for precise annotation.
Unitlab's Automation Workflow feature enhances the data annotation process by enabling the integration of multiple AI models within a single project. This capability allows for efficient handling of complex annotation tasks, improving both speed and accuracy. By following the steps outlined above, you can set up and utilize automation workflows to streamline your data labeling efforts.
