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This study presents a comprehensive analysis of the YOLOv5 object detection model, examining its architecture, training methodologies, and performance.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Deployment of ai-based rbf network for photovoltaics fault detection procedure
Muhammad Hussain, Mahmoud Dhimish, Violeta Holmes, and Peter Mather · 2019
Earlier work this paper cites.
Yolov4: Optimal speed and accuracy of object detection
Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao · 2020
Earlier work this paper cites.
Cspnet: A new backbone that can enhance learning capability of cnn
Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, and I-Hau Yeh · 2020
Earlier work this paper cites.
YOLOv5 New Version - Improvements and Evaluation
J. Solawetz · 2020
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Efficientdet: Scalable and efficient object detection
Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020
Earlier work this paper cites.
Cross-iteration batch normalization
Z. Yao, Y. Cao, S. Zheng, G. Huang, and S. Lin · 2021
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A layer-wise surface deformation defect detection by convolutional neural networks in laser powder-bed fusion images
M. A. Ansari, A. Crampton, and S. Parkinson · 2022
Earlier work this paper cites.
Lightweight convolutional network for automated photovoltaic defect detection
Arsalan Zahid, Muhammad Hussain, Richard Hill, and Hussain Al-Aqrabi · 2023
Cited alongside, same era.
When, where, and which?: Navigating the intersection of computer vision and generative ai for strategic business integration
Muhammad Hussain · 2023
Cited alongside, same era.
Yolo-v5 variant selection algorithm coupled with representative augmentations for modelling production-based variance in automated lightweight pallet racking inspection
Muhammad Hussain · 2023
Cited alongside, same era.
A review on defect detection of electroluminescence-based photovoltaic cell surface images using computer vision
Tahir Hussain, Muhammad Hussain, Hussain Al-Aqrabi, Tariq Alsboui, and Richard Hill · 2023
Cited alongside, same era.
Yolov1 to v8: Unveiling each variant–a comprehensive review of yolo
Muhammad Hussain · 2024
Cited alongside, same era.
Yolov4 vs. yolov5: Which one should you use?, 2023
Roboflow Blog · 2024
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A comprehensive review of convolutional neural networks for defect detection in industrial applications
Rahima Khanam, Muhammad Hussain, Richard Hill, and Paul Allen · 2024
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Pytorch brand guidelines
PyTorch · 2024
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What is an anchor box?
Roboflow Blog · 2024
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Roboflow and ultralytics partner to streamline yolov5 mlops, 2021
Brad Dwyer · 2024
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Deci ai documentation, 2024
Deci AI · 2024
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Yolov5 clearml integration documentation, 2021
ClearML · 2024
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In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
Muhammad Hussain and Rahima Khanam · 2024
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Ultralytics · 2024
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ultralytics/yolov3: Yolov3 implementation in pytorch, 2024
Glenn Jocher · 2024
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Yolov5 weights and biases integration guide, 2021
Weights and Biases · 2024
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