Thermal PV Panel Detection and Fault Detection Dataset for UAV-Based Inspection
收藏Zenodo2025-07-25 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.16420123
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资源简介：
This dataset focuses on automated photovoltaic (PV) panel detection and fault detection using thermal imagery captured by UAV and includes annotated thermal images of PV panels.
The raw thermal images were captured using the DJI Mavic 3T UAV at a photovoltaic farm in Sindos, Thessaloniki. These images were processed to generate a non-overlapping subset of 351 images (640×512) resolution, each containing fully visible PV panel arrays.
The PV panel count in each subset can be seen in the following table:
Set
Images
Annotated PV Panels
Training
235
18487
Validation
83
5828
Test
35
2363
Total
353
26678
This dataset is intended for training and evaluating deep learning-based object detection models and supports research for renewable energy systems.
提供机构：
Zenodo
创建时间：
2025-07-25
