CODD:用于建筑和拆除废物的自动分类的基准数据集
Demetris Demetriou1, Pavlos Mavromatidis2, Michael F Petrou1
1Department of Civil & Environmental Engineering, University of Cyprus, Nicosia 1303, Cyprus.
Waste management (New York, N.Y.)
|February 20, 2024
概括
一个新的建筑和拆除废物物体检测数据集 (CODD) 帮助自动化废物分类. 这一基准数据集和基线模型促进了建筑垃圾管理和物体检测研究的进步.
科学领域:
- 计算机视觉 计算机视觉
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
背景情况:
- 建筑和拆除废物 (CDW) 的自动分类对于可持续的废物管理至关重要.
- 现有的数据集缺乏对各种CDW场景的全面覆盖,这阻碍了强大的物体检测模型的开发.
- 对象检测模型对于识别和分类废物材料以进行高效的分类至关重要.
研究的目的:
- 引入建筑和拆除废物物体检测数据集 (CODD) 作为训练物体检测模型的基准.
- 促进CDW自动分类系统的全面实施.
- 在CDW领域建立对象检测模型的基线性能.
主要方法:
- 策划了一个全面的数据集 (CODD),包含来自现实世界的CDW网站的各种CDW材料和场景.
- 开发了一种先进的对象检测模型,利用YOLOV8架构进行界限框和实例细分.
- 使用CODD基准数据集上开发的模型建立了基线性能.
主要成果:
- CODD数据集提供了广泛的CDW场景和模型培训材料.
- 基于YOLOV8的模型展示了CDW中对象检测的基线性能.
- CODD的协作性质鼓励持续的贡献和改进.
结论:
- CODD数据集和基线模型为评估CDW中的未来对象检测模型提供了可靠的参考.
- 本资源促进了自动化CDW分类的渐进进步和协作研究.
- 数据集的适应性确保了对新兴的废物管理研究和实际应用的相关性.
相关概念视频
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The compacting factor test is a method used to assess the workability of concrete. It is especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
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