Authors :
Dawn Wilson; Dr. Manusankar C; Dr. Prathibha P H
Volume/Issue :
Volume 7 - 2022, Issue 8 - August
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3AWmpqK
DOI :
https://doi.org/10.5281/zenodo.7036535
Abstract :
- Object detection is a technique that allows
detecting and locating objects in videos and images.
Object detection is widely used to count objects in a
scene, track their precise locations and accurately label
the objects. It seeks to answer what is the object? and
Where is it? . Object detection adopts various
approaches such as fast R-CNN, Retina-Net, Single Shot
MultiBox Detector (SSD) and YOLO. Among these,
YOLO is the most powerful algorithm for object
detection and as well as suited for real-time scenarios. It
is popular because of its accuracy and speed. YOLO
uses Neural networks to provide object detection.
Keywords :
YOLO, Neural Networks, CNN, Object detection.
- Object detection is a technique that allows
detecting and locating objects in videos and images.
Object detection is widely used to count objects in a
scene, track their precise locations and accurately label
the objects. It seeks to answer what is the object? and
Where is it? . Object detection adopts various
approaches such as fast R-CNN, Retina-Net, Single Shot
MultiBox Detector (SSD) and YOLO. Among these,
YOLO is the most powerful algorithm for object
detection and as well as suited for real-time scenarios. It
is popular because of its accuracy and speed. YOLO
uses Neural networks to provide object detection.
Keywords :
YOLO, Neural Networks, CNN, Object detection.
