Autonomous Vehicle Dataset Generation

Find driving clips similar to an example video, or generate rain, snow and daylight variations. Prepare a payload (a JSON file of run settings), run autonomous_vehicle_dataset_generation_dag_k8s, and inspect the results. The workflow uses Cosmos-Curator, Cosmos Dataset Search (CDS) and Cosmos3-Nano. It starts and stops its own services.

For augmenting existing clips without retrieval, use cdf-video-data-augmentation. For event or anomaly videos from a seed image, use cdf-event-video-generation. For clip-augmentation requests where the user says no search or retrieval is needed, stop and reroute to video data augmentation rather than building an AV search payload or working around the search requirement.

Use a checkout matching the deployed workflow. Keep the repository documentation and payloads available when this skill is copied into an agent sandbox.