Leveraging Machine Learning Tools and Techniques in Enhancing the Effective Usage of Image Recognition and Object Detection System

Kanishka Kashyap

Vol. 7, Jan-Dec 2021

Page Number: 163 - 172

Abstract:

Machine learning has opened doors to unfathomable and surprising opportunities and advancements in various industries and domains. The research paper explores and observes the applications of machine learning in image recognition and object detection, focusing on the applications of these technologies in modern businesses and enterprises. The paper tries to dig deep into the fundamental principles of machine learning, focusing on the use of Convolutional Neural Networks (CNNs) and other algorithms in image recognition tasks. It also examines the techniques employed in object detection, such as Single Shot Multibox Detector (SSD) and You Only Look Once (YOLO). Real-world applications, including self-driving cars, medical image analysis, facial recognition, robotics, etc. are discussed to highlight the practical significance of these technologies.

References

• Akgül, İsmail, and Yıldız Aydın. “OBJECT RECOGNITION WITH DEEP LEARNING AND MACHINE LEARNING METHODS.” NWSA Academic Journals 17, no. 4 (October 29, 2022): 54–61. https://doi.org/10.12739/nwsa.2022.17.4.2a0189
• Patil, Abhinav. “Image Recognition Using Machine Learning.” SSRN Electronic Journal, 2021. https://doi.org/10.2139/ssrn.3835625.
• Gupta, P., & Gupta, S. (2022). Deep Learning in Medical Image Classification and Object Detection: a Survey. International Journal of Image Processing and Pattern Recognition. https://doi.org/10.37628/ijippr.v8i2.846

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