Exploring the "Great Unseen" in Medieval Manuscripts: Instance-Level Labeling of Legacy Image Collections with Zero-Shot Models
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912698457915392 |
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| author | Meinecke, Christofer Guéville, Estelle Wrisley, David Joseph |
| author_facet | Meinecke, Christofer Guéville, Estelle Wrisley, David Joseph |
| contents | We aim to theorize the medieval manuscript page and its contents more holistically, using state-of-the-art techniques to segment and describe the entire manuscript folio, for the purpose of creating richer training data for computer vision techniques, namely instance segmentation, and multimodal models for medieval-specific visual content. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07004 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the "Great Unseen" in Medieval Manuscripts: Instance-Level Labeling of Legacy Image Collections with Zero-Shot Models Meinecke, Christofer Guéville, Estelle Wrisley, David Joseph Computer Vision and Pattern Recognition Human-Computer Interaction We aim to theorize the medieval manuscript page and its contents more holistically, using state-of-the-art techniques to segment and describe the entire manuscript folio, for the purpose of creating richer training data for computer vision techniques, namely instance segmentation, and multimodal models for medieval-specific visual content. |
| title | Exploring the "Great Unseen" in Medieval Manuscripts: Instance-Level Labeling of Legacy Image Collections with Zero-Shot Models |
| topic | Computer Vision and Pattern Recognition Human-Computer Interaction |
| url | https://arxiv.org/abs/2511.07004 |