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IoT-Based Emergency Vehicle Detection Using YOLOv8 Cover

Figures & Tables

Figure 1.

YOLO architecture

Figure 2.

Proposed system model

Figure 3.

Sample dataset

Figure 4.

Images captured on roads

Figure 5.

(a), (b), (c), (d) Sample dataset

Figure 6.

Emergency vehicle identification using YOLOV8

Figure 7.

Confusion matrix

Figure 8.

F1 Confidence curve on the vehicle identification

Figure 9.

Precision confidence curve for the vehicle identification

Figure 10.

Precision-Recall curve for different emergency vehicle identification

Figure 11.

Recall-Confidence curve on different vehicles
DOI: https://doi.org/10.14313/jamris-2025-018 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 79 - 88
Submitted on: May 24, 2023
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Accepted on: Jul 17, 2023
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Published on: Jun 26, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Syed Suhana, Boppuru Rudra Prathap, Kavish Narang, Ivin Anto, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.