Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks
Instagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. For example, image searches on Instagram may use certain keywords, sometimes called hashtags. There are no rules for specifying hashtags when users upload images. As such, the spe...
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2023-06-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/45 |
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| author | Rezty Amalia Aras Hutami Endang |
| author_facet | Rezty Amalia Aras Hutami Endang |
| author_sort | Rezty Amalia Aras |
| collection | DOAJ |
| description | Instagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. For example, image searches on Instagram may use certain keywords, sometimes called hashtags. There are no rules for specifying hashtags when users upload images. As such, the specified hashtag may not be relevant to the uploaded image. There are photos whose content is dominated by selfies. The study was conducted using data from Instagram, using hashtags to refine searches. Next, classify from the search results. The survey has three categories: selfies, food, and travel. Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. From the study results, we can conclude that the Haar cascade has a precision rate of 0.7081/s and a detection error of 0.8816/s, while Adaboost has a precision rate of 0.7072/s and a detection error of 0.8424/s. According to the recognition results, the two algorithms can recognize and classify photos with almost the same accuracy (only 0.0392 seconds). |
| format | Article |
| id | doaj-art-c41140c5677043d49ef5cda3ab7a5025 |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-c41140c5677043d49ef5cda3ab7a50252025-01-28T05:36:06ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082023-06-01131596810.35585/inspir.v13i1.4545Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social NetworksRezty Amalia Aras0Hutami Endang1Institut Teknologi dan Bisnis KallaInstitut Teknologi dan Bisnis KallaInstagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. For example, image searches on Instagram may use certain keywords, sometimes called hashtags. There are no rules for specifying hashtags when users upload images. As such, the specified hashtag may not be relevant to the uploaded image. There are photos whose content is dominated by selfies. The study was conducted using data from Instagram, using hashtags to refine searches. Next, classify from the search results. The survey has three categories: selfies, food, and travel. Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. From the study results, we can conclude that the Haar cascade has a precision rate of 0.7081/s and a detection error of 0.8816/s, while Adaboost has a precision rate of 0.7072/s and a detection error of 0.8424/s. According to the recognition results, the two algorithms can recognize and classify photos with almost the same accuracy (only 0.0392 seconds).https://ojs.unitama.ac.id/index.php/inspiration/article/view/45classificationinstagramhaar casecadeadaboost |
| spellingShingle | Rezty Amalia Aras Hutami Endang Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks Inspiration classification haar casecade adaboost |
| title | Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks |
| title_full | Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks |
| title_fullStr | Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks |
| title_full_unstemmed | Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks |
| title_short | Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks |
| title_sort | implementation of haar cascade and adaboost algorithms in photo classification on social networks |
| topic | classification haar casecade adaboost |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/45 |
| work_keys_str_mv | AT reztyamaliaaras implementationofhaarcascadeandadaboostalgorithmsinphotoclassificationonsocialnetworks AT hutamiendang implementationofhaarcascadeandadaboostalgorithmsinphotoclassificationonsocialnetworks |