Physical Ai Defect Image Generation
NVIDIA/physical-ai-data-factory/skills/physical-ai-defect-image-generation
creativityOfficial
Official Provider SkillView repo
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect imag
Files40 files
BENCHMARK.md82 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorycreativity
Skill IDNVIDIA/physical-ai-data-factory/skills/physical-ai-defect-image-generation
Files40 files
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