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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Analysis And Prediction Of Air-Plane Price Using Machine Learning |
| Authors Name: | Bijji Shivashanker , B.Bhanu Prakash , Dr.K.V.Shiny |
| Unique Id: | IJSDR2404090 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | In modern urban environments, efficient traffic management is paramount for safety and optimization of transportation systems. The primary objective of this research is to develop a robust system capable of real-time detection and recognition of speed limit signs using deep learning methodologies. YOLO v8, renowned for its efficiency and accuracy in object detection tasks, serves as the core framework for our system. The YOLO v8-based detection algorithm effectively identifies speed limit signs across diverse scenarios, including challenging conditions such as variations in lighting, weather, and occlusions. By automating the speed sign detection process with YOLO v8, we enhance traffic safety, reduce accident risks, and improve overall traffic flow efficiency. In conclusion, our findings underscore the potential of deep learning, particularly YOLO v8, in revolutionizing traffic sign detection. The developed system holds promise for practical implementation in smart cities and transportation networks, offering tangible benefits for urban mobility and safety. |
| Keywords: | YOLOv8, Convolutional Neural Networks, Feature Selection, Data Collection, Preprocessing, Streamlit, Traffic Signs. |
| Cite Article: | "Analysis And Prediction Of Air-Plane Price Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.649 - 655, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404090.pdf |
| Downloads: | 000338173 |
| Publication Details: | Published Paper ID: IJSDR2404090 Registration ID:210843 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 649 - 655 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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