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| Format: | Recurso digital |
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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19053038 |
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| _version_ | 1866901074528436224 |
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| author | Yang, Yizhong |
| author_facet | Yang, Yizhong |
| contents | <p>The CDW-Dataset is a construction and demolition waste detection dataset designed for object detection tasks. The dataset contains images collected from real construction sites in Xiangyang, China. </p> <p>It includes ten common types of construction waste: steel bars, concrete, gravel, foam, bricks, asphalt, concrete fragments, tiles, scaffolding, and wood pieces. A total of 500 images were collected with a resolution of 1920×1200. All images were manually annotated using bounding boxes for object detection.</p> <p>The dataset is intended to support research on intelligent construction waste detection, automated sorting, and computer vision applications in construction management.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19053038 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CDW-Dataset: A Construction and Demolition Waste Detection Dataset Yang, Yizhong <p>The CDW-Dataset is a construction and demolition waste detection dataset designed for object detection tasks. The dataset contains images collected from real construction sites in Xiangyang, China. </p> <p>It includes ten common types of construction waste: steel bars, concrete, gravel, foam, bricks, asphalt, concrete fragments, tiles, scaffolding, and wood pieces. A total of 500 images were collected with a resolution of 1920×1200. All images were manually annotated using bounding boxes for object detection.</p> <p>The dataset is intended to support research on intelligent construction waste detection, automated sorting, and computer vision applications in construction management.</p> |
| title | CDW-Dataset: A Construction and Demolition Waste Detection Dataset |
| url | https://doi.org/10.5281/zenodo.19053038 |