Open AccessRetinaNet Based Environment Classification
Author(s) -
R. Balamurugan,
R. Arunkumar,
Shashank Mohan
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.s1.1792
Subject(s) - computer science , artificial intelligence , computer vision
Environmental classification is very useful for visually impaired persons and Robotic applications. The main objective of this work is to detect and recognize the objects present in a scene and identify the environment based on the occurrence probability of the objects in the scene. Objects from the real-time images are detected and recognized by means of RetinaNet. Occurrence probabilities of the recognized objects are used to identify the environment.