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   Articles with "yolov5" as a keyword



Aircraft Target Detection in Remote Sensing Images Based on Improved YOLOv5

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3140876

Abstract: Dealing with the insufficient detection accuracy and speed of aircraft targets in remote sensing images under complex background, this paper proposes a new detection method, YOLOv5-Aircraft, based on the YOLOv5 network. The YOLOv5-Aircraft model is… read more here.

Keywords: aircraft; yolov5 aircraft; sensing images; yolov5 ... See more keywords

Truss tomato detection under artificial lighting in greenhouse using BiSR_YOLOv5

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recommendations! Published in 2024 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.33.3.033014

Abstract: Abstract. The visual characteristics of greenhouse-grown tomatoes undergo significant alterations under artificial lighting, presenting substantial challenges in accurately detecting targets. To address the diverse appearances of targets, we propose an improved You Only Look Once… read more here.

Keywords: module; artificial lighting; truss; yolov5 ... See more keywords

Indoor fire and smoke detection based on optimized YOLOv5

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recommendations! Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0322052

Abstract: Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. Existing deep learning-based object… read more here.

Keywords: detection; fire smoke; indoor; yolov5 ... See more keywords

Improved Convolutional Neural Network YOLOv5 for Underwater Target Detection Based on Autonomous Underwater Helicopter

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recommendations! Published in 2023 at "Journal of Marine Science and Engineering"

DOI: 10.3390/jmse11050989

Abstract: To detect a desired underwater target quickly and precisely, a real-time sonar-based target detection system mounted on an autonomous underwater helicopter (AUH) using an improved convolutional neural network (CNN) is proposed in this paper. YOLOv5… read more here.

Keywords: network; underwater target; yolov5; detection ... See more keywords