MBDD2025: A Deep Learning-Oriented Dataset for Diverse Building Defect Detection from UAV Images
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资源简介：
MBDD2025 is a large-scale dataset of building surface defects collected by UAV imagery. It is designed for object detection and classification tasks in intelligent building inspection. The dataset covers a wide range of structural types and defect categories, making it suitable for deployment in diverse real-world scenarios.
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Zenodo创建时间：
2025-06-09
