synthetic-data

# Synthetic Data Skill Generate photorealistic training data using NVIDIA Cosmos world foundation models — Cosmos Transfer, Cosmos Predict, and Cosmos Reason. ## Overview The Synthetic Data domain provides SDG pipelines that transform simulation-rendered frames into photorealistic training data, predict future environment states, and curate output for training quality. ## Pipeline Stages | Stage | Model | Purpose | |----------|---------------------|----------------------------------------------------| | Transfer | Cosmos Transfer 2.5 | Convert Isaac Sim renders to photorealistic images | | Predict | Cosmos Predict 2.5 | Generate future frame sequences from observations | | Reason | Cosmos Reason 2 | Assess data quality and filter training samples | ## Workflow Submission SDG workflows can be submitted via OSMO or AzureML: - **OSMO workflows**: `synthetic-data/workflows/osmo/` - **AzureML jobs**: `synthetic-data/workflows/azureml/` ## Key Files | File | Purpose | |---------------------------------------------------------------------|-----------------------------------------| | `synthetic-data/README.md` | Domain overview and directory structure | | `synthetic-data/workflows/osmo/sdg-pipeline.yaml` | End-to-end OSMO SDG pipeline | | `synthetic-data/cosmos/configs/README.md` | Model configuration reference | | `synthetic-data/specifications/synthetic-data.specification.md` | SDG pipeline specification | | `synthetic-data/specifications/cosmos-integration.specification.md` | Cosmos model integration specification | ## Environment Requirements All NVIDIA Cosmos containers require: | Variable | Value | |------------------------------|-------| | `ACCEPT_EULA` | `Y` | | `PRIVACY_CONSENT` | `Y` | | `NVIDIA_DRIVER_CAPABILITIES` | `all` | ## GPU Requirements Each Cosmos model stage requires a minimum of 1x A100 (40 GB) GPU. H100 (80 GB) recommended for production workloads.