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YOLO FOR OBJECT DETECTION

SATHYA DEVIRAJATHI & Dr. V. Uma
Type: Print Book
Genre: Science & Technology
Language: English
Price: ₹300 + shipping
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Description

Dive into the world of object detection, where machines learn to identify and understand objects in images and videos! This book provides an in-depth exploration of YOLO Object detection models. From foundational concepts to advanced techniques, it covers the principles behind deep learning, computer vision, and their transformative impact on object detection. Whether you're new to the field or looking to refine your knowledge, this guide equips you with the tools, insights, and understanding needed to harness the power of object detection in real-world applications.

About the Author

Sathya Devirajathi is an M.Tech student in Computer Science and Engineering, specializing in deep learning and computer vision. With a strong focus on object detection algorithms, she is passionate about advancing AI technologies to tackle real-world challenges. Sathya is dedicated to enhancing the capabilities of models like YOLO, aiming to improve automation, accuracy, and efficiency in fields such as image analysis and license plate recognition. Through her work, she strives to contribute to the continuous evolution of machine learning techniques and their practical applications in visual perception systems.

Dr. V. Uma is an Associate Professor in the Department of Computer Science at Pondicherry University, specializing in Machine Learning and Deep Learning. With over 15 years of postgraduate teaching experience, she focuses on advancing research in Knowledge Representation, Reasoning, and Sentiment Analysis. She earned her M.Tech and Ph.D. in Computer Science from Pondicherry University receiving the university gold medal for...

Book Details

Number of Pages: 101
Dimensions: 8.27"x11.69"
Interior Pages: B&W
Binding: Hard Cover (Case Binding)
Availability: In Stock (Print on Demand)

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