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Povzetek: Cultural heritage artefacts that are rich in engraved and embossed ornamentation on vessels, ritual objects, tombstones, and manuscripts. These objects are important for reconstructing social life, ritual practices, and cultural expression a cross regions and periods. To understand a culture, it is not enough to study objects in isolation; systematic comparison across related artefacts is essential to determine whether and how communities were connected. However, such a comparison requires first a robust, scalable detection of their visual content. We therefore study whether a real-time object detection framework can localise and classify ornamentation. In this study, pretrained You Only Look Once version 8 (YOLOv8) and version 11 (YOLOv11) architectures were employed, ranging from their nano to large model versions, to detect ornaments characteristic of Greek and Hallstatt cultural artefacts. YOLOv8 and YOLOv11 were pretrained on Common Objects in Context (COCO) dataset and were able to detect 80different object categories. During the testing of YOLO performance different inherent(YOLO specific) hyper-parameter settings were adopted to detect (localise and classify)ornaments. The models demonstrated promising performance in localising and recognising recurring motifs, yet their accuracy remains constrained by the limited availability of ornament-specific training data. To enhance recognition quality, the development of specialised datasets tailored to cultural ornamentation is essential.
Ključne besede: cultural heritage, object detection, ornamentation, deep learning, YOLO
Objavljeno v DiRROS: 03.02.2026; Ogledov: 85; Prenosov: 58
Celotno besedilo (12,76 MB)
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Povzetek: Disposing of excess salt from seawater desalination and the potash industry presents substantial ecological risks worldwide. This underscores the pressing need to explore reuse possibilities to mitigate environmental damage. One potential solution involves incorporating salt waste into building construction, especially in environments with low air humidity. However, this integration affects composite materials’ mechanical and hydrothermal properties and results in efflorescence on the material surface. This study investigates how different surface inclinations and two types of salt waste affect efflorescence in salt cement mixtures. The primary goal of this research is to design more resource-efficient building materials by reducing cement usage while improving understanding of optimized surface design in indoor construction applications. Experimental in-situ measurements employing Confocal Laser Scanning Microscopy (CLSM) and Macro X-ray fluorescence scanning (MA-XRF) were conducted to examine salt crystallization accumulation on the salt cement surface. Our findings indicate higher efflorescence on concrete- salt surfaces with steeper inclinations (30–60 %). Furthermore, salt waste from the potash industry exhibits greater efflorescence than desalination salts, attributed to its higher sodium chloride content. This research contributes to a deeper understanding of the interactions among salt waste, cement, and surface characteristics, providing valuable insights for future advancements in construction materials science.
Ključne besede: salt waste, surface inclination, efflorescence sustainable concrete, non-destructive methods
Objavljeno v DiRROS: 11.06.2025; Ogledov: 602; Prenosov: 358
Celotno besedilo (13,92 MB)
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