Deploy Model to CVAT

Deploy a trained YOLO model as a Nuclio serverless function so CVAT users can auto-annotate images directly from the CVAT UI.

Pre-Flight Checklist

• Trained model exists (best.pt or user-specified)
• Nuclio is running (check port 8070)
• yolo-project.yaml has class definitions
• Docker is running (required for Nuclio builds)

Workflow

1. Identify the Model

• Use the best model from the latest experiment, or ask the user
• Check experiments/summary.md for the best-performing model path