Data · dataset · 2026
PatternChroma-41K
Listed in Teesside University Research Data Repository
PatternChroma-41K is a comprehensive benchmark dataset containing 41,015 annotated pattern images with detailed color and emotional analysis.
Description
Each image includes dominant color extraction, 6-color palettes, dimensional metadata (resolution, aspect ratio, orientation), and three-level classification: color names (12 categories), emotions (12 categories), and contextual tags (111 descriptors). The dataset provides quantitative metrics including brightness (μ=0.501, σ=0.200), saturation (μ=0.479, σ=0.233), and contrast (μ=0.158, σ=0.078), enabling systematic analysis of color-emotion relationships in visual patterns.
Color distribution is led by BLUE (17.94%), PURPLE (14.20%), and ORANGE (12.57%), while emotion classification shows prevalence of Comfort (16.91%), Imagination (16.28%), and Calm (12.30%). Contextual tags are headed by Dreamy (10.58%), Melancholic (6.65%), and Warm (5.37%). This benchmark supports multiple research domains: computational design, color psychology, affective computing, pattern recognition, textile and fashion analysis, and digital humanities.
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PatternChroma-41K addresses the gap in large-scale, multi-dimensional pattern datasets and provides a foundation for developing color-aware design systems, emotion recognition models, and pattern generation algorithms. All images are provided with complete metadata including RGB/Hex values, dimensional properties, and contextual descriptors.
Links
Where it is published
- DOI doi.org/10.17632/4r2m7ynrt2.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Computer vision · Deep learning · Earth & Environmental Science · Image processing · Machine learning · Pattern recognition
- Inferred from text
- Image 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/4r2m7ynrt2.2 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].anzsrc:field:460308 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Pattern Recognition'] |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |