Implementing Single Shot Detector (SSD) for Object Detection in Advertisement Web Application for Easy Search

التفاصيل البيبلوغرافية
العنوان: Implementing Single Shot Detector (SSD) for Object Detection in Advertisement Web Application for Easy Search
المؤلفون: Binu K Philip, Mr. Amal K Jose
بيانات النشر: Zenodo, 2023.
سنة النشر: 2023
مصطلحات موضوعية: Object localization, Object detection, Single Shot MultiBox Detector, Real-time, Image analysis
الوصف: — The goal of Machine Learning technology in this project, named Ad-Sol (solution for advertisement), is to implement the Single Shot MultiBox Detector (SSD) algorithm for object detection in uploaded image files. The proposed solution aims to identify and localize objects within the uploaded images in real-time, without the need for a separate region proposal step. The SSD algorithm, which is a deep learning-based model, will be utilized to detect various objects in the images based on their object names. Once the objects are detected, the system will implement a searching mechanism to make it easy to search for objects based on their names within the Ad-Sol project. This searching functionality will facilitate users in quickly locating objects of interest within the uploaded images and improve the overall user experience.  
DOI: 10.5281/zenodo.7947805
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2873694c2a2d097182a1970d9a645295
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....2873694c2a2d097182a1970d9a645295
قاعدة البيانات: OpenAIRE