<b>SAFE-Net-Dataset</b>

<b>Dataset Description for SAFE-Net-Dataset</b><b>1. Introduction</b>This dataset was created as part of the research titled <i>"</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures"</i>. It focuses on detecting defects commonly found in steel structure coatings, including <b>corrosion, cracks, flaking, and blistering</b>. The goal of this dataset is to facilitate research in computer vision for defect detection, specifically for high-resolution image segmentation and object detection tasks.<b>2. Dataset Overview</b><b>Name</b>: <b>SAFE-Net-Dataset</b><b>Version</b>: 1.0<b>Number of Images</b>: 8,193 images.<b>Defects Categories</b>:Class 0: CorrosionClass 1: CrackClass 2: FlakingClass 3: Blistering<b>Data Formats</b>:<b>Images</b>: RGB images in .jpg format.<b>Annotations</b>: Provided in .txt format, where each .txt file corresponds to an image and contains information about the bounding boxes for all objects in that image.<b>3. Methodology</b><b>3.1. Data Collection</b>The images were collected from industrial steel structures under real-world conditions. Images were captured using high-resolution cameras to ensure fine detail resolution of small defects like microcracks.<b>3.2. Data Annotation</b>Annotation tools used include <b>Labelimg</b> for bounding boxes. Then, the XML file that has been obtained is to be converted into TXT format.<b>4. Citation</b>If you use this dataset, please cite the following paper:<i>[Paper Title:</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures]</i><br>Authors: [Yue Yu, Shouchao Jiang, Yijun Wang, Shaojun Zhu*]<b>5. License</b>This dataset is released under the <b>GPL</b><b> </b>license. Users are free to use, modify, and distribute the dataset, provided that appropriate credit is given to the original authors.For questions or issues, please contact [e-mail].<br>