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

• Autores principales: Indrajaya, Denny, Setiawan, Adi, Hartanto, Djoko, Hariyanto, Hariyanto
• Formato: UMS Journal (OJS)
• Lenguaje: eng
• Publicado: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022
• Materias: object detection; swallow's nest; SSD MobileNet V2 FPNLite; classification; deep learning
• Acceso en línea: 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...