README.md

metadata

tags:
  - smart-manufacturing
  - sft
  - industrial
  - vision
license: other
pretty_name: 181-grounding
extra_gated_fields:
  Name: text
  Affiliation: text
  Intended use: text
extra_gated_prompt: >-
  This dataset is released for **research use**. Access is reviewed and granted
  **manually** by the maintainers. Please state your name, affiliation, and
  intended use.

181-grounding

Detection-format anomaly localization — all 16,100 records of AI4Manufacturing/181, deterministic (no LLM). annot = [] (14,000 anomaly-free — rejection is in-task) or [{"bbox_xywh": [x,y,w,h]}], the official ellipse's containing box in native pixels, floored to a 24-px minimum side (118 degenerate thin ellipse rasterizations — mostly Class8 — under-cover their visible mark; metadata.degenerate_gt flags them and the floored box provably still contains the original, verified on all 2,100). The query states the containment semantics. Grade by containment / center-hit — the GT is deliberately coarse; tight-IoU rewards would punish correct answers.

Weak-GT disclosure. DAGM's official labels are deliberately COARSE ellipses ("roughly indicating" the defect) — every localization here is a containing region, not a tight extent (metadata.coarse_gt: true). Grade localization by containment/center-hit, never tight IoU.

Query diversity (2026-07-11). The query field is drawn from a pool of 40 surface variants for this task (paraphrases that preserve the task and answer-format exactly; the answer-format directive is held verbatim), each selected by an independent per-record hash. This replaces the earlier 4-template design to prevent instruction-format overfitting; answers, images, ids, and all provenance are unchanged. A machine gate in verify_*.py checks that no template correlates with the gold (binomial z < 4.5).

Overlap / de-duplication (§8)

270 of these images (all anomalous, DAGM Classes covered by DefectSpectrum) also appear byte-identical in the D15 family (D15-annotated / D15-mcq / D15-region / D15-grounding) with FINE masks and defect-type labels. Reconstruct the exact overlap via metadata.image_sha256. Both official DAGM splits are processed identically here (project policy): metadata.split preserves the original Train/Test membership — carve your own held-out set downstream and keep it out of training.

Provenance

Built from AI4Manufacturing/181 by annotate/181/build_181_derived.py (forge_model), verified by verify_181.py (box == mask-derived ellipse bbox on all 2,100; [] exactly for goods; template independence). Convert box conventions at train time via common/box_convert.py — regenerate, don't regex. Companions: 181-annotated, 181-mcq, 181-region.