Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection

ArXi:2605.27155v1 Announce Type: cross Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness probing: users upload deployment images, create masks manually or automatically, select operational design domain-derived factors (or custom prompts), and run diffusion-based controlled inpainting. The system s batch jobs, parallel seed/workflow variations, and configurable generation parameters.