Image Grounding Pipeline Standalone install? If this session was not initialized by the TAO skill bank plugin, run the skill first (host preflight, credentials, cross-skill discovery). Turn pairs into per-image grounded annotations: cleaned captions, referring expressions with character spans, and pixel-space bounding boxes for each expression. A single VLM (Gemini or any OpenAI-compatible endpoint) handles both steps. Purpose Generate phrase-grounded training data for referring-expression and grounding models. The VLM acts as a "teacher" annotator: Step 0 extracts referring expressions from…