The human-in-the-loop approach can be integrated into ML pipelines to direct low-confidence results from an ML model to human labelers to correct before the results reach the end-user. You can also leverage this workflow to train your model with those human-created labels in real-time.
Enabling real-time labeling allows your team to label continuously. This can be helpful if you have labeling time constraints or if you need to boost your labeling team’s efficiency by enabling a continuous workflow.
You can enable Real-time labeling under Settings > Automation.
When all assets in the queue have been labeled, the labeler will see a button that says Wait for next asset.
When a labeler clicks on Wait for next asset, Labelbox will display a real-time screen that will automatically display the next task that enters the queue.
Updated about 2 months ago