README.md

metadata

tags:
  - smart-manufacturing
  - sft
  - industrial
  - vision
license: other
pretty_name: 181-region
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-region

Region-conditioned binary anomaly QA — 7,548 items, deterministic (no LLM): 2,100 positives (the ellipse region of every anomalous record; overlay ring or native-px bbox-in-query, 50/50) + 5,448 clean regions ("no anomaly"; on-image cleans for anomalous records — DAGM has exactly one anomaly per defective image, so off-ellipse regions are genuinely clean — plus sampled good-image regions). Clean boxes sample size AND position from the emitted-positive population; large boxes (≥10% of image) place cleans at MIRRORED pool positions so border-flushness is reproduced — an adversarial review found Class6's border-flush defects vs interior cleans were separable at AUC 0.94 before this fix; after it, per-(class,mode) GBM gates (0.75) show worst cell 0.625 and pooled AUC 0.52/0.53. Machine-verified: zero structural out-of-range rules; every template occurs with both golds; weak residual single-feature signals in the Class6 large-box stratum (0.58, mechanisms understood) are disclosed. Clean-majority ratio (72%) is disclosed — reweight at training time if you want balance.

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 per mode (80) 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).

Roles

Roles: this is an answer-only tier — there is no reasoning column; annot is both the machine-parseable gold AND the direct-answer SFT target ('SFT-ready' here means direct imitation of annot in the query-specified format); it is also the exact-match/IoU reward key for RLVR.

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. Exact-match golds (anomaly / no anomaly). Companions: 181-annotated, 181-mcq, 181-grounding.