Search Result "YOLO object detection."
A Robust Real Time Object Detection and Recognition Algorithm for Multiple Objects
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 1 Year: 2021 Page: 331-338
Author(s): Garv Modwel,Anu Mehra,Nitin Rakesh,Krishna K. Mishra
Real-Time Object Detection and Localization for Autonomous Driving
Ebook: Handbook of Artificial Intelligence
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010008
Classification of Deep Learning Techniques for Object Detection
Ebook: Robotics and Automation in Industry 4.0
Volume: 1 Year: 2024
Author(s): Aras Amruth Raj Purushotham
Doi: 10.2174/9789815223491124010015
Deep Learning Based Object Detection Using Mask R-CNN
Ebook: AI and IoT-based Intelligent Health Care & Sanitation
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136531123010016
Threat Detection and Reporting System
Ebook: Artificial Intelligence and Natural Algorithms
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036091122010006
IoT-Enabled Crowd Monitoring and Control to Avoid Covid Disease Spread Using Crowdnet and YOLO
Ebook: Mobile Computing Solutions for Healthcare Systems
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815050592123010013
Object Detection for Healthcare Data Using Deep Convolutional Neural Networks
Ebook: A Context Aware Decision Making Algorithm for Human Centric Analytics: Algorithm Development and Use Cases for Health Informatics System
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815305968124010005
Improved FCOS for Detecting Breast Cancers
Journal: Current Medical Imaging
Volume: 18 Issue: 12 Year: 2022 Page: 1291-1301
Author(s):
Vehicle Detection in High Density Traffic Surveillance Data usingYOLO.v5
Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 17 Issue: 2 Year: 2024 Page: 216-227
Author(s): Dileep Kumar Yadav
Traffic Sign Detection and Recognition Using Convolutional Neural Networks
Ebook: AI in the Social and Business World: A Comprehensive Approach
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815256864124010008