Image Classification

Anirudh kasturi, Chief Technology Officer | 14 Oct 2022
OdinTalks>Data Science Bootcamp >Image Classification

About the speaker

Anirudh is currently a research scholar pursuing Ph.D. under Prof. Chittaranjan Hota at BITS Pilani, Hyderabad Campus. He received his Master's from IIT Madras and completed B.Tech in Computer Science and Engineering from JNTU. He has several published works to his credit on Fusion learning and Hybrid Fusion learning.


In this interactive session, Anirudh Kasturi discusses image classification. He starts with Convolutional Neural Networks (CNN) and gives many real-life examples of machine learning. He elaborates on how images are classified into numbers using pixels by (red, green, and blue) values.

A pixel, short form for "picture element," is the smallest unit of a digital image or display. It is a tiny square or dot that represents a single point of color.

You probably say my mobile is 10 megapixels, 16 megapixels, or more. What exactly do you mean by that?

Watch the full video to learn more about  image classification in detail.

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