Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal CCIT (Creative Communication and Innovative Technology) Journal
Erna Astriyani
University of Raharja, Indonesia
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementation of The YOLOv5 Model For Crowd Detection : Model Analysis Erna Astriyani; Oleh Soleh; Adisa Lahmania Putri; Fachry Riziq Huseini
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 2 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i2.2602

Abstract

One of several deep learning object detection model ideas is YOLO. High-level characteristics obtained by Convolutional Neural Networks (CNN) can be used to overcome the challenges of prior assumptions. Because of the inherent complexity of the human crowd, prominent places in a high-density crowd may exhibit characteristics that differ from those in a normal density crowd. The most efficient deep learning model architecture for use in real-time video applications is provided by YOLO. The CrowdHuman dataset is annotated by researchers using the Roboflow platform. The outcomes are annotated files in the YOLOv5 format including around 4,500 pictures. Photographs of crowds at various elevations and distances are included in this image dataset. The Roboflow platform is used by researchers to convert this annotation and get the required results. This research is divided into four stages: the evolving process, the training process, the testing process, and the evaluation process. The training results are quite positive because they have a mAP value larger than 0.4. However, during the evaluation phase, the model continues to have issues detecting small and moving objects. The device used is a YOLOv5s, a smaller version of the YOLOv5.
Co-Authors Adisa Lahmania Putri Fachry Riziq Huseini Oleh Soleh