This dataset is released for research use. Access is reviewed and granted manually by the maintainers. Please state your name, affiliation, and intended use.

D20-goods

2,066 good (defect-free) MVTec-AD images formatted as a drop-in class-balance supplement for D15-annotated.

The repository name is an internal task code: images come from AI4Manufacturing/D20 (MVTec-AD), formatting follows D15-annotated (DefectSpectrum re-annotation of the same product families).

Why

D15-annotated's DS-MVTec portion is anomaly-heavy — 386 good vs 1,226 defective overall (0.31:1), with pill at zero goods and capsule/hazelnut at 4 each. A model trained on that mix gets almost no signal for the "declare good" decision. Mixing this set in brings every category to good:anom = 2:1 (the ratio used by the in-house 181-annotated precedent):

category	D15 anom	D15 good	added here	category	D15 anom	D15 good	added here
bottle	63	20	106	pill	132	0	264
cable	92	58	126	screw	119	41	197
capsule	109	4	214	tile	84	33	135
carpet	89	28	150	toothbrush	30	12	48
grid	57	21	93	transistor	40	60	20
hazelnut	70	4	136	wood	60	19	101
leather	92	32	152	zipper	119	32	206
metal_nut	70	22	118	total	1,226	386	2,066

(D15 anomalous counts above exclude nothing; MVTec's flip and pill_type classes are absent from D15 by DefectSpectrum's own design and are NOT covered by this supplement either.)

Format compatibility (mixes as ONE training set with D15-annotated)

query — drawn verbatim from D15-annotated's own per-category query-variant pools (harvested from the published dataset; 26–40 variants per category), selected by per-record hash.
annot — byte-identical to D15-annotated's good gold: {"defects": [], "label": "good"}.
Schema — identical columns: query, image, annot, reasoning, cate, task, mask, metadata (cate=B, task=T-B2).
reasoning is EMPTY in this release — the CoT pass is scheduled separately and will land as a dataset revision. mask is empty (good rows have no defect mask).
Roles (once the CoT lands): reasoning is the SFT imitation target; annot is the machine-parseable gold / reward key, not an output-format target.
The empty reasoning_grounded column was removed 2026-07-21 per the corpus grounded-trace doctrine (decided 2026-07-18): classification-shape tasks never carry the column — geometry stays in metadata/mask; no grounded chains will be added. This matches D15-annotated and D20-goods-annotated-linked-to-D15, which had the column removed under the same doctrine.

Provenance & disjointness

Images are the MVTec-AD train-split goods taken from AI4Manufacturing/D20 (revision 69b0409); metadata carries image_sha256, the original image_path, and a supplement block (per-category targets + sampling doc). Byte-disjointness from every D15 image is machine-verified by sha256 at build time (D15 only ever ingested MVTec test images; the 4 known D20↔D15 shared-pixel families are disclosed in the D20/D15 repos). Sampling is a deterministic even spread over path-sorted train goods per category, which covers the known appearance variants (pill speckle-density range, toothbrush bristle colors blue/red/yellow, hazelnut per-nut variation).

Generator: annotate/D20/build_d20_goods.py (forge_model); compat assets harvested into annotate/D20/d15_compat.json; verification gates in the same script (verify).

Upstream license (inherited)

The images in this dataset are MVTec-AD goods, obtained via AI4Manufacturing/D20. Upstream license: CC BY-NC-SA 4.0 (this card is license: other; respect the upstream terms).

This license is inherited, not chosen, and it is viral: both the NonCommercial restriction and the ShareAlike obligation propagate to this dataset and to anything derived from it. Any redistribution or derivative must remain non-commercial and carry the same license plus attribution to MVTec Software GmbH. Mixtures that include these records inherit the same constraint.

Downloads last month: 45

Total file size:

1.94 GB