Replication Data for Remote Damage Detection of Power Plants using Deep Learning based drone image analysis

Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone image analysis Thermal Solar, Large Solar, Small Solar, Wind turbine image dataset of drone inspection with damages annotated. Some of the images being collected from the following reference. Estefanía Alfaro-Mejía, Humberto Loaiza-Correa, Edinson Franco-Mejía, Andrés David Restrepo-Girón, Sandra Esperanza Nope-Rodríguez, Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels, Data in Brief, Volume 26, 2019, 104441, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.104441. S. Mehta, A. P. Azad, S. A. Chemmengath, V. Raykar, and S. Kalyanaraman, DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels,\" 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, 2018, pp. 333-342. Shihavuddin, A.S.M., Chen, X., Fedorov, V., Nymark Christensen, A., Andre Brogaard Riis, N., Branner, K., Bjorholm Dahl, A. and Reinhold Paulsen, R., 2019. Wind turbine surface damage detection by deep learning aided drone inspection analysis. Energies, 12(4), p.676.

本数据集为基于深度学习的无人机图像分析实现电厂远程损伤检测的复现数据，涵盖热斑太阳能（Thermal Solar）、大型太阳能组件、小型太阳能组件以及风力涡轮机的无人机巡检图像，所有图像均已标注损伤位置。部分图像来源于以下参考文献：
1. Estefanía Alfaro-Mejía、Humberto Loaiza-Correa、Edinson Franco-Mejía、Andrés David Restrepo-Girón、Sandra Esperanza Nope-Rodríguez：《单晶硅太阳能电池板蜗牛痕迹与热斑失效识别数据集》，《数据简报（Data in Brief）》，2019年，第26卷，文章编号104441，ISSN 2352-3409，DOI: https://doi.org/10.1016/j.dib.2019.104441。
2. S. Mehta、A. P. Azad、S. A. Chemmengath、V. Raykar、S. Kalyanaraman：《DeepSolarEye：基于全卷积网络的太阳能面板功率损耗预测与弱监督积灰定位》，收录于2018年IEEE计算机视觉应用冬季会议（WACV），美国内华达州塔霍湖，2018年，第333-342页。
3. Shihavuddin, A.S.M.、Chen, X.、Fedorov, V.、Nymark Christensen, A.、Andre Brogaard Riis, N.、Branner, K.、Bjorholm Dahl, A.、Reinhold Paulsen, R.：《基于深度学习辅助无人机巡检分析的风力涡轮机表面损伤检测》，《能源（Energies）》，2019年，第12卷第4期，第676页。