Real-Time Object Detection using DL with YOLO V7

Real-Time Object Detection using DL with YOLO V7
Author(s):
D.M.V.Priya, S.Samyukta
Keywords:
API, SSD, FRCNN, CNN, RCNN, YOLO (yolo only look once),DL(deep learning).
Abstract
In this article, it will shows that how human life is getting much easier day by day. With the use of intelligent technologies such as mobile applications, humans have a more flexible lifestyle that allows them to stay anywhere in the world. Real-time object detection using YOLO just look once. YOLO is one of the most widely used techniques in deep learning for pervasive real-time object detection. Since YOLOv5 and YOLOv7 both belong to his YOLO family, we included the empathy between them in his COCO dataset. Because it is one of the better, more accurate and faster algorithms with advanced DL techniques for object detection. Object recognition is one of the most difficult tasks in computer vision. The purpose is to recognize objects more accurately. From this, he found YOLOV7 to be the fastest and most accurate compared to YOLOV5 on pre-trained images.
Article Details
Unique Paper ID: 161454 Publication Volume & Issue: Volume 10, Issue 5 Page(s): 8 - 14
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