PV-Multi-Defect Computer Vision Project
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NOTE: Annotations for images img9513.jpg and img3059.jpg were missing thus they were ommited during upload.
@article{Li2023, title = {GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection}, shorttitle = {GBH-YOLOv5}, author = {Li, Longlong and Wang, Zhifeng and Zhang, Tingting}, year = {2023}, month = jan, journal = {Electronics}, volume = {12}, number = {3}, pages = {1--15}, publisher = {Multidisciplinary Digital Publishing Institute}, issn = {2079-9292}, doi = {10.3390/electronics12030561}, copyright = {http://creativecommons.org/licenses/by/3.0/}, }
Li, L., Wang, Z., & Zhang, T. (2023). GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection. Electronics, 12(3), Article 3. https://doi.org/10.3390/electronics12030561
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pv-multi-defect_dataset,
title = { PV-Multi-Defect Dataset },
type = { Open Source Dataset },
author = { BowenKruse },
howpublished = { \url{ https://universe.roboflow.com/bowenkruse/pv-multi-defect } },
url = { https://universe.roboflow.com/bowenkruse/pv-multi-defect },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2025-02-16 },
}