Human Activities Detection using DeepLearning Technique- YOLOv8
Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities. So, mask detection has become a very critical task for security agencies in all the buildings, Government office...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_03003.pdf |
| _version_ | 1827868025744785408 |
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| author | Motwani Nilesh Parmanand S Soumya |
| author_facet | Motwani Nilesh Parmanand S Soumya |
| author_sort | Motwani Nilesh Parmanand |
| collection | DOAJ |
| description | Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities. So, mask detection has become a very critical task for security agencies in all the buildings, Government offices & other places. With the advent of GPUs, high computing machines, and Deep Convolution Neural Networks (DCCN), automatic Face & Mask Detection is possible by considering the image processing feature of extracting, 3-dimensional shapes from 2- dimensional images. This paper discuss about the YOLOv8 model to confirm its overall applicability, on two datasets namely FDDB & MASK. This helps to examine the behavior of the feature from the Mask dataset, which is intended for COVID-19 Mask Detection alone. Mask is the main dataset in this experiment. Above this, the ImageNet dataset is utilized for pretraining and FDDB (Face Detection Dataset & Benchmarks) datasets for recognizing face of a human being. The precision of models on FDDB is 58.9 % & on MASK dataset is 66.5%. |
| first_indexed | 2024-03-12T15:26:01Z |
| format | Article |
| id | doaj.art-b8909f10921a4a8aab8377d195a67b27 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-03-12T15:26:01Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-b8909f10921a4a8aab8377d195a67b272023-08-10T13:16:50ZengEDP SciencesITM Web of Conferences2271-20972023-01-01560300310.1051/itmconf/20235603003itmconf_icdsac2023_03003Human Activities Detection using DeepLearning Technique- YOLOv8Motwani Nilesh Parmanand0S Soumya1School of Robotics, Defence Institute of Advanced Technology (DU)School of Robotics, Defence Institute of Advanced Technology (DU)Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities. So, mask detection has become a very critical task for security agencies in all the buildings, Government offices & other places. With the advent of GPUs, high computing machines, and Deep Convolution Neural Networks (DCCN), automatic Face & Mask Detection is possible by considering the image processing feature of extracting, 3-dimensional shapes from 2- dimensional images. This paper discuss about the YOLOv8 model to confirm its overall applicability, on two datasets namely FDDB & MASK. This helps to examine the behavior of the feature from the Mask dataset, which is intended for COVID-19 Mask Detection alone. Mask is the main dataset in this experiment. Above this, the ImageNet dataset is utilized for pretraining and FDDB (Face Detection Dataset & Benchmarks) datasets for recognizing face of a human being. The precision of models on FDDB is 58.9 % & on MASK dataset is 66.5%.https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_03003.pdfobject recognitionhuman activityintersection over uniondeep learningyolov8iou |
| spellingShingle | Motwani Nilesh Parmanand S Soumya Human Activities Detection using DeepLearning Technique- YOLOv8 ITM Web of Conferences object recognition human activity intersection over union deep learning yolov8 iou |
| title | Human Activities Detection using DeepLearning Technique- YOLOv8 |
| title_full | Human Activities Detection using DeepLearning Technique- YOLOv8 |
| title_fullStr | Human Activities Detection using DeepLearning Technique- YOLOv8 |
| title_full_unstemmed | Human Activities Detection using DeepLearning Technique- YOLOv8 |
| title_short | Human Activities Detection using DeepLearning Technique- YOLOv8 |
| title_sort | human activities detection using deeplearning technique yolov8 |
| topic | object recognition human activity intersection over union deep learning yolov8 iou |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_03003.pdf |
| work_keys_str_mv | AT motwaninileshparmanand humanactivitiesdetectionusingdeeplearningtechniqueyolov8 AT ssoumya humanactivitiesdetectionusingdeeplearningtechniqueyolov8 |