| --- |
| 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`](https://huggingface.co/datasets/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`](https://huggingface.co/datasets/AI4Manufacturing/D15) family |
| ([`D15-annotated`](https://huggingface.co/datasets/AI4Manufacturing/D15-annotated) / |
| [`D15-mcq`](https://huggingface.co/datasets/AI4Manufacturing/D15-mcq) / |
| [`D15-region`](https://huggingface.co/datasets/AI4Manufacturing/D15-region) / |
| [`D15-grounding`](https://huggingface.co/datasets/AI4Manufacturing/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`](https://huggingface.co/datasets/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`](https://huggingface.co/datasets/AI4Manufacturing/181-annotated), |
| [`181-mcq`](https://huggingface.co/datasets/AI4Manufacturing/181-mcq), |
| [`181-region`](https://huggingface.co/datasets/AI4Manufacturing/181-region). |
|
|
