Phase 6: VMMRdb identifier extension (196 → up to ~9,170 make/model/year)

Multi-car mode: detect every vehicle, identify each, group damage per car

Fix demo error on 'no car' (and 'no image'): return 6 values to match outputs

XGBoost(C): mask-area cost feature from the YOLOv8-seg model

Variant D: parts-aware costing (YOLOv8-seg damage ∩ parts → catalog)

Add make/model confidence floor (0.30) to the deployable Phase 5 stack

Phase 5: activate make/model identification + car-presence gate

Fix production_target() to fall back to file-on-disk for HF deploy

Add Stanford Cars as 'no damage' negatives for the classifier

Honor classifier threshold + show explicit no-detection feedback

Add annotated image output + 7 beginner notebooks

checkpoint-3: comparison report, FastAPI, Gradio, HF Space deploy

Initial commit: end-to-end car damage + repair-cost predictor