Construction Site Material Stacking Identification Image Dataset

Construction sites face challenges such as disorganized material stacking, large space occupation, impacting safety, and work efficiency. Existing management methods mainly rely on manual patrols and simple monitoring equipment video playback, which are inefficient and insufficiently accurate. This dataset aims to solve the needs of material stacking identification and management through image recognition technology, improving management efficiency and safety at construction sites. Data is collected using on-site photographs with professional camera equipment, capturing images from multiple angles and time periods under various weather conditions. To ensure data quality, multiple rounds of annotation, consistency checks, and reviews by a team of construction industry experts (approximately 20 people) are conducted. Data preprocessing includes image denoising, normalization, data augmentation, and uses hierarchical storage for quick retrieval and use, ultimately stored in JPG format.