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Data · dataset · 2026

TILDA-OBB

Listed in Teesside University Research Data Repository

The annotated dataset, TILDA-OBB, contains 1,562 images across four fabric groups: Plain (C1), Texture (C2), Printed (C3), and Patterned (C4).

Description

It is derived from the TILDA Textile Texture Database (Schulz-Mirbach, 1996), developed at Technische Universität Hamburg-Harburg under the DFG research programme "Automatic Visual Inspection of Technical Objects." TILDA contains 3,200 grayscale images (768×512) across eight fabric types and seven defect classes, plus one defect-free class (Albert-Ludwigs-Universität Freiburg, 1995).

The raw images carry only short German text labels with no bounding-box annotations; these were translated into English and annotated in Roboflow (Dwyer and Nelson, 2024) using oriented bounding boxes. Five defect classes were retained: Cut, Foreign Object, Hole, Stain, and Thread Defect. The No Defect and Wrinkle classes were excluded, as neither contains a spatially distinguishable defect region.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Manufacturing engineering 69% · Text 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/8y46pm2m6y.111 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4014enrichment · researchdata tees ac uktaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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