Construction and Demolition Waste Object Detection Dataset (CODD)

The CODD dataset is a meticulously curated collection of images and annotations designed to facilitate the development and benchmarking of both bounding box and instance segmentation detection models for Construction and Demolition Waste (CDW) sorting. CODD features ten distinct CDW categories, including bricks, concrete, tiles, wood, pipes, plastics, general waste, foaming insulation, stones, and plaster boards. The dataset was carefully acquired from a recycling facility in Cyprus, capturing the diverse characteristics of CDW in their natural state. A total of 3,129 high-resolution images (1920 × 1200 × 3, RGB) containing 16,545 annotated samples make up this comprehensive resource. The dataset is divided into training, validation, and testing subsets, with the option for users to exercise discretion in the use of the validation set within their specific research framework. All annotations are provided in the standardized PASCAL VOC XML format, including both bounding box coordinates and polygon coordinates for precise object segmentation detection.

CODD数据集乃一项精心编纂的图像及标注集合，旨在促进建筑与拆除废物（CDW）分类中边界框与实例分割检测模型的研发及基准测试。该数据集包含十种独特的CDW类别，包括砖块、混凝土、瓷砖、木材、管道、塑料、一般废物、发泡绝热材料、石材及石膏板。数据集由位于塞浦路斯的回收设施谨慎采集，捕捉了CDW在其自然状态下的多样化特征。共计3,129张高分辨率图像（1920 × 1200 × 3, RGB）及16,545个标注样本构成了这一全面资源。数据集分为训练集、验证集和测试集，用户可在其特定研究框架内自行决定验证集的使用方式。所有标注均以标准化的PASCAL VOC XML格式提供，包括边界框坐标和多边形坐标，以实现精确的对象分割检测。