GPU-optimized AI, Machine Learning, & HPC Software

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NVIDIA

PAIDF AnomalyGen

PAIDF AnomalyGen is a synthetic defect generation pipeline powered by NVIDIA Cosmos diffusion models. It supports automated mask placement, anomaly inpainting, model fine-tuning, evaluation with FID metrics, and iterative refinement workflows for producing high-quality synthetic anomaly datasets used in industrial inspection and quality assurance applications.

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NVIDIA

PAIDF Augmentation

PAIDF Augmentation is an image & video augmentation pipeline that leverages NVIDIA Cosmos and other generative models to produce photorealistic synthetic video data. It supports multiple augmentation strategies including weather, lighting, and scene transformations for training and validating models in NVIDIA Metropolis applications.

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NVIDIA

PAIDF Auto Labeling

PAIDF Auto Labeling is an automated data annotation pipeline that processes raw video data through object detection, multi-object tracking, vision-language model (VLM) classification, and multiple-choice question (MCQ) generation stages. It produces high-quality pseudo-labels for training computer vision models in NVIDIA Metropolis synthetic data generation workflows.

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NVIDIA

PAIDF Simulation

PAIDF Simulation provides synthetic data generation and domain registration tooling for PCB Automated Optical Inspection. It leverages NVIDIA Omniverse Replicator to generate photorealistic synthetic PCB images with defect annotations for training and validating defect detection models in manufacturing quality assurance pipelines.

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