Spaces:
Runtime error
Runtime error
Commit History
-
Bake metrics narrative into submission notebook (§2.4–§2.6, §3.3, §4.1, §11.2) (#29)
theDocWho +2: theDocWho, Claude Opus 4.7 Unverified signatureReviewers now see the full identifier / damage_seg / parts_seg / Variant-D story statically without running anything: - §2.4 — markdown explaining why 0.40 (VMMRdb) vs 0.77 (Stanford) is a preprocessing mismatch and class-granularity effect, not a model regression. Six-factor breakdown + an honest comparison table for Options 1 / 2 / 3. - §2.5 — train/val loss + top-1 accuracy curves per epoch with stage boundary annotated. Stanford curve always plotted; VMMRdb plotted when metrics.json is pulled from the Colab run. - §2.6 — three confusion / F1 views from the cached Stanford F1 run (data/eval/identifier_stanford_f1.json): top-20 by support heatmap, bottom-20 by F1 bar chart, and make-level aggregated heatmap (49 makes, 0.854 accuracy — the metric Variant D actually depends on). - §3.3 / §4.1 — damage_seg + parts_seg YOLOv8 per-epoch curves (box + mask loss, mAP50, mAP50-95, P/R) loaded from each run's ultralytics/results.csv. - §11.2 — Variant D end-to-end MAE on a ha…4176ea4