International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Classification and Detections using Yolov5

Author(s) Yashaswini N, Dr. Manimala
Country India
Abstract Object detection is a growing field of research in the field of computer vision. Our outcome shows that YOLOv5 achieves good modern performance for a variety of sensing applications, including surveillance, robotics, and autonomous driving. Overall, this article demonstrates the potential of YOLOv5 to be an excellent tool for object detection in real-world applications.
Keywords Object detection, PASCAL VOC dataset, YOLOv5.
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-09-08
Cite This Classification and Detections using Yolov5 - Yashaswini N, Dr. Manimala - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.6057
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.6057
Short DOI https://doi.org/gsp9fn

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