Object Detection with Deep Learning Models

Object Detection with Deep Learning Models

Principles and Applications

Poonkuntran, S; Kumar Dhanraj, Rajesh; Balusamy, Balamurugan

Taylor & Francis Ltd

11/2022

266

Dura

Inglês

9781032074009

15 a 20 dias

Descrição não disponível.
1. Introduction: Deep Learning and Computer Vision. 2. Object Detection Frameworks and Services in Computer Vision. 3. Real Time Tracing and Alerting System for Vehicles and Children To Ensure Safety and Security Using Labview. 4. Mobile Application based Assistive System for Visually Impaired People: A Hassle-free Shopping Support System. 5. Traffic Density and on-road Moving Object Detection Mangement using Video Processing. 6. Automate Vehicle Number Plate Recognition System using Convolution Long Short-term memory technique. 7. Deep Learning based Indian Vehicle Number Plater Detection and Recognitoin. 8. Smart Diabetes System using CNN in Health Data Analytics. 9. Independent Automobile Intelligent Motion Controller and Re-direction using Deep Learning system. 10. Deep Learning Solutions for Pest Detection. 11. Deep Learning Solutions for Pest Identification in Agriculture. 12. A complete Framework for LULC Classification of Madurai Remote Sensing Image with Deep Learning based Fusion Technique. 13. Human Behavioural Identifiers - A detailed discussion by T.SubaNachiar, T.Shanmuga Priya, P.R.Hemalatha, J.V Anchitaalagammai
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Applied Deep Learning;Neural Networks;Machine Learning;Max Pooling Layer;CNN Model;Pooling Layer;Object Detection;Deep Learning Models;Bounding Box;Convolutional Layer;Convolutional Kernels;Deep Learning;CNN Architecture;RFID Tag;RNN;License Plates;Deep Neural Networks;Number Plate;Remote Sensing Images;Vehicle Tracking;Feature Extraction;NN;Neural Network;RFID Reader;Behavioral Biometrics;Pest Detection;Bounding Box Coordinates;TTS