Object Detection to Identify Shapes of Swallow Nests Using a Deep Learning Algorithm

• 主要な著者: Indrajaya, Denny, Setiawan, Adi, Hartanto, Djoko, Hariyanto, Hariyanto
• フォーマット: UMS Journal (OJS)
• 言語: eng
• 出版事項: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022
• 主題: object detection; swallow's nest; SSD MobileNet V2 FPNLite; classification; deep learning
• オンライン･アクセス: https://journals.ums.ac.id/index.php/khif/article/view/16489

Object detection is basic research in the field of computer vision to detect objects in an image or video. the TensorFlow framework is a widely adopted framework to create object detection programs and models. In this study, an object detection program and model are designed to detect the shape of a...