Analysis of Live Video Object Detection using YOLOv5 and YOLOv7-Reference-Cited by-同舟云学术

Analysis of Live Video Object Detection using YOLOv5 and YOLOv7

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

Reddy Konala Thammi¹,Nammi Anusha²,Sree Tella Divya²

Affiliation:

1. GITAM University,GITAM School of Technology,Dept. of CSE,Visakhapatnam,India

2. GITAM University,GITAM School of Technology,Visakhapatnam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10169926.pdf?arnumber=10169926

Reference11 articles.

1. Automatic detection of bike-riders without helmet using surveillance videos in real-time

2. Detection of motorcyclists without helmet in videos using convolutional neural network;vishnu;2019 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics (DISCOVER),2019

3. Detecting motorcycle helmet use with deep learning

4. You Only Look Once: Unified, Real-Time Object Detection

5. YOLOv7: A Deep Dive into the Current State-of-the-Art for Object Detection;huang,2021

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