Published June 9, 2025
| Version v 1.0
Dataset
Open
MBDD2025: A Deep Learning-Oriented Dataset for Diverse Building Defect Detection from UAV Images
Description
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.
Files
MBDD2025.zip
Files
(2.5 GB)
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md5:b2dfdce060ef687c327b1f8203b52636
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2.5 GB | Preview Download |