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An AI-driven solution enhances construction site safety using the YOLOv8 model for object detection. It identifies hazards like workers without helmets or safety vests, workers near machinery, and workers near vehicles. Post-processing algorithms further improve detection accuracy.
AnnoTheia is a data annotation toolkit that identifies when a person speaks in a scene and transcribes their speech, also offering flexibility to replace modules for different languages.
This streamlines the process of annotating data for machine learning tasks, making it easier and more efficient for teams to create labeled datasets by leveraging Label Studio and Bulk
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Supplemental code: Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction