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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19026276 |
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| _version_ | 1866901991581548544 |
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| author | Oh, Hyejin Woo-Shik, Kim Sangyoon, Lee YungKyung, Park Je-Won, Kang |
| author_facet | Oh, Hyejin Woo-Shik, Kim Sangyoon, Lee YungKyung, Park Je-Won, Kang |
| contents | <p>Multispectral Image dataset with Lighting Diversity (MILD) dataset comprises 15-channel MS images captured under various illumination conditions, ranging from mono-wavelength light sources to indoor illuminants such as D65 and fluorescent lighting. Thus, the MILD dataset can facilitate research on illumination estimation across diverse lighting environments on MS domains.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19026276 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MILD: Multispectral Image dataset with Lighting Diversity Oh, Hyejin Woo-Shik, Kim Sangyoon, Lee YungKyung, Park Je-Won, Kang <p>Multispectral Image dataset with Lighting Diversity (MILD) dataset comprises 15-channel MS images captured under various illumination conditions, ranging from mono-wavelength light sources to indoor illuminants such as D65 and fluorescent lighting. Thus, the MILD dataset can facilitate research on illumination estimation across diverse lighting environments on MS domains.</p> |
| title | MILD: Multispectral Image dataset with Lighting Diversity |
| url | https://doi.org/10.5281/zenodo.19026276 |