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cdf-autonomous-vehicle-dataset-generation

Prepare payloads, run and monitor the Autonomous Vehicle Dataset Generation Airflow workflow, and inspect results for driving-clip retrieval and Cosmos3-Nano variants. Existing clips with no retrieval use cdf-video-data-augmentation; seed-image event or anomaly generation uses cdf-event-video-generation.

skills/cdf-autonomous-vehicle-dataset-generation/SKILL.md

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# 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](../cdf-video-data-augmentation/SKILL.md).
For event or anomaly videos from a seed image, use
[cdf-event-video-generation](../cdf-event-video-generation/SKILL.md).
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
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