RetinaNet Based Environment Classification
2018 ◽
Vol 7
(S1)
◽
pp. 112-114
Keyword(s):
The Real
◽
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.
Keyword(s):
2019 ◽
Vol 8
(2)
◽
pp. 5152-5156
2021 ◽
Keyword(s):
2000 ◽
Vol 33
(27)
◽
pp. 669-674
◽
1981 ◽
Vol 75
(1)
◽
pp. 34-35
◽
2014 ◽
pp. 151-153