domains / families / data / tao-generate-anomalies

tao-generate-anomalies

separate

Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.

When to use

• fine-tune AnomalyGen
• generate anomaly images
• run PAIDF SDG
• evaluate SDG output quality
• run per-sample search
• run any part of the AnomalyGen pipeline

Skill page

Source