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Enhancement of Image Processing Using Modern Tools

Ramesh Khanna

Abstract


In this research paper, an image labeling algorithm is implemented using Tensorflow, Keras, and Python, and an optimization is proposed using image compression. The goal is to use image compression methods to cut down on data size, execution time, and computing resources. Numerous limitations in terms of power consumption, processing power, and dataset size frequently hinder machine learning applications' real-time efficiency. real-world use case By attempting to overcome such obstacles, we can discover novel approaches to applying machine learning to simpler real-world applications.


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References


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