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Generate synthetic defect images v1.0.0

Use this resource to generate synthetic defect images from a defect dataset

New

  • 491 downloads
  • 168 likes
  • 184 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install defect-image-generation-pipeline

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent runs one stage or the full pipeline on your dataset: mask placement, fine-tuning the Cosmos base, generation, evaluation, quality refinement or pseudo-labeling. It asks for the parameters before each stage.

Mostly picked by

Updated November 2, 2026

Card for the “Generate synthetic defect images” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : pipeline modes and stages
  • references/mask-placement.md : mask placement
  • references/fine-tuning.md : model fine-tuning

Good fit for

  • You want to enrich a defect-detection dataset
  • You have a defect dataset and want to evaluate it

Not for

    Tags

    • anomalygen
    • defects
    • synthetic data
    • cosmos
    • detection

    About

    You say

    “Run the AnomalyGen pipeline on my phone_screen dataset.”

    Card for the “Generate synthetic defect images” skill

    Skill published by nvidia under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to generate synthetic defect images from a defect dataset
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7.7 KB
    • evals/evals.json5.8 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/agentic-mask-generation.md21.6 KB
    • references/fine-tuning.md20.2 KB
    • references/inputs.md9.7 KB
    • references/mask-placement.md9 KB
    • references/quality-refinement.md12.8 KB
    • references/verification.md17.6 KB
    • skill-card.md4.9 KB
    • SKILL.md39.3 KB
    • skill.oms.sig5.9 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/cdf-anomalygen
    Licence
    Apache-2.0

    Notice

    « cdf-anomalygen » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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