Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo

Object recognition and detection have been in request by numerous parties since Computer Vision innovation within the 1960s, both within the industrial and medical area. Since then, many studies have focused on object recognition and detection with various types of algorithm models that can recogniz...

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Autores principales: Qurotul Aini, Ninda Lutfiani, Hendra Kusumah, Muhammad Suzaki Zahran
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Publicado: Universitas Negeri Medan 2021
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Acceso en línea:https://doaj.org/article/c5b34bcb0e7a4c89b28179b2becf2d13
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spelling oai:doaj.org-article:c5b34bcb0e7a4c89b28179b2becf2d132021-11-27T05:26:27ZDeteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo2502-71312502-714X10.24114/cess.v6i2.25840https://doaj.org/article/c5b34bcb0e7a4c89b28179b2becf2d132021-07-01T00:00:00Zhttps://jurnal.unimed.ac.id/2012/index.php/cess/article/view/25840https://doaj.org/toc/2502-7131https://doaj.org/toc/2502-714XObject recognition and detection have been in request by numerous parties since Computer Vision innovation within the 1960s, both within the industrial and medical area. Since then, many studies have focused on object recognition and detection with various types of algorithm models that can recognize and detect objects in an image. However, not all of these algorithm models are efficient and effective in their application. Most of the previous algorithm models have a relatively high level of complexity. Here, the author tries to explain and introduce the YOLO (You only look once) algorithm model, which has a high enough image detection processing speed capability and accuracy that can compete with the previous algorithm models. There are several advantages and disadvantages of each version made, which are explained in the discussion section.Qurotul AiniNinda LutfianiHendra KusumahMuhammad Suzaki ZahranUniversitas Negeri Medanarticleobject detectionyoloobject recognitionalgorithmefficiencyElectronic computers. Computer scienceQA75.5-76.95IDCESS (Journal of Computer Engineering, System and Science), Vol 6, Iss 2, Pp 192-199 (2021)
institution DOAJ
collection DOAJ
language ID
topic object detection
yolo
object recognition
algorithm
efficiency
Electronic computers. Computer science
QA75.5-76.95
spellingShingle object detection
yolo
object recognition
algorithm
efficiency
Electronic computers. Computer science
QA75.5-76.95
Qurotul Aini
Ninda Lutfiani
Hendra Kusumah
Muhammad Suzaki Zahran
Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
description Object recognition and detection have been in request by numerous parties since Computer Vision innovation within the 1960s, both within the industrial and medical area. Since then, many studies have focused on object recognition and detection with various types of algorithm models that can recognize and detect objects in an image. However, not all of these algorithm models are efficient and effective in their application. Most of the previous algorithm models have a relatively high level of complexity. Here, the author tries to explain and introduce the YOLO (You only look once) algorithm model, which has a high enough image detection processing speed capability and accuracy that can compete with the previous algorithm models. There are several advantages and disadvantages of each version made, which are explained in the discussion section.
format article
author Qurotul Aini
Ninda Lutfiani
Hendra Kusumah
Muhammad Suzaki Zahran
author_facet Qurotul Aini
Ninda Lutfiani
Hendra Kusumah
Muhammad Suzaki Zahran
author_sort Qurotul Aini
title Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
title_short Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
title_full Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
title_fullStr Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
title_full_unstemmed Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo
title_sort deteksi dan pengenalan objek dengan model machine learning: model yolo
publisher Universitas Negeri Medan
publishDate 2021
url https://doaj.org/article/c5b34bcb0e7a4c89b28179b2becf2d13
work_keys_str_mv AT qurotulaini deteksidanpengenalanobjekdenganmodelmachinelearningmodelyolo
AT nindalutfiani deteksidanpengenalanobjekdenganmodelmachinelearningmodelyolo
AT hendrakusumah deteksidanpengenalanobjekdenganmodelmachinelearningmodelyolo
AT muhammadsuzakizahran deteksidanpengenalanobjekdenganmodelmachinelearningmodelyolo
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