Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer

Research article (Smart Construction and Sustainable Cities, 2024) · cited 11× · AI/ML
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Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer

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Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer is a scholarly article[1].

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  • Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/content-annotation-in-images-from-outdoor-construction-jobsites-using-yolo-v8-and-swin-transformer
MLA “Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/content-annotation-in-images-from-outdoor-construction-jobsites-using-yolo-v8-and-swin-transformer.
BibTeX @misc{4ortxyz_content-annotation-in-images-from-outdoor-construction-jobsites-using-yolo-v8-and-swin-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer}}, year = {2026}, url = {https://4ort.xyz/entity/content-annotation-in-images-from-outdoor-construction-jobsites-using-yolo-v8-and-swin-transformer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer — https://4ort.xyz/entity/content-annotation-in-images-from-outdoor-construction-jobsites-using-yolo-v8-and-swin-transformer (retrieved 2026-05-24)

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