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The AllSeeing Eye for Constructive Weapon Detection Using YOLOv8 Object Detection Model

Published: 13 May 2024 Publication History

Abstract

Gun and weapon detection is a challenging task that has a wide range of applications in security, surveillance, and law enforcement. In this paper, we present a novel gun and weapon detection system using the YOLOv8 (You Only Look Once) object detection model. Our system is trained on a custom dataset of 16,000 images containing guns, knives, and heavy weapons. We evaluate our system on a validation dataset of 1,400 images and achieve a mean average precision (mAP) of 88.2%.

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ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine Intelligence
November 2023
1215 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2024

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Author Tags

  1. Deep Learning
  2. Machine Learning
  3. Object Detection
  4. Security Management
  5. Weapon Detection

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