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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
TRAFFIC SIGN DETECTION USING YOLOV4
Authors
Rishabh Singh, Momin Danish, Vipul Purohit, Mr. Ashraf Siddiqui
Keywords
Traffic Sign Detection, YOLOv4, GTSDB, CNN, Machine learning, Darknet
Abstract
Traffic sign detection is an important aspect of autonomous vehicles, this helps in avoiding accidents. In this project, a
deep learning model is implemented with YOLO's (You Look Only Once) latest version YOLOv4. YOLO is one of the fastest
object detection algorithms for real-time detection. In YOLOV4, CSPDarknet54 is used which acts as the backbone, this
promotes the learning capability of CNN. We prepared two models, one that was trained on the GTSDB dataset and another on an
independently made dataset consisting of 4 classes. We achieved a 92% mAP on the GTSDB dataset and 94.40% mAP on the
CSST dataset.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105958
Paper ID - 207904
Page Number(s) - i891-i897
Pubished in - Volume 9 | Issue 5 | May 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rishabh Singh, Momin Danish, Vipul Purohit, Mr. Ashraf Siddiqui, "TRAFFIC SIGN DETECTION USING YOLOV4", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.i891-i897, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105958.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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