Generated banner for Physical AI Video Data Augmentation
Generated logo for Physical AI Video Data Augmentation

Physical AI Video Data Augmentation

NVIDIAOfficialCreated by NVIDIA

  • Skill
  • Workflow
  • Data and AI
  • Link-only
  • Medium risk
  • Has scripts

From the author

Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.
— the description by NVIDIA

Install

Documentation by NVIDIA

The licence of this skill does not allow us to copy its documentation. Read it at the source

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs Python, Needs Node.js

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
NVIDIA
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/physical-ai-video-data-augmentation · commit fce3cca
Licence
Unrecognised licence declaration: CC-BY-4.0 AND Apache-2.0 (link-only: we do not redistribute its files)
Synced

AutoGineer is not affiliated with or endorsed by NVIDIA.

Get it from the source

This skill’s licence does not allow redistribution, so we link to it instead: NVIDIA/skills