Technology's scope has evolved into one of the most powerful tools for human development in a variety of fields.AI and machine learning have become one of the most powerful tools for completing tasks quickly and accurately without the need for human intervention. This project demonstrates how deep machine learning can be used to create a caption or a sentence for a given picture. This can be used for visually impaired persons, as well as automobiles for self-identification, and for various applications to verify quickly and easily. The Convolutional Neural Network (CNN) is used to describe the alphabet, and the Long Short-Term Memory (LSTM) is used to organize the right meaningful sentences in this model. The flicker 8k and flicker 30k datasets were used to train this.
Image captioning, Convolutional Neural Network, Long Short-Term Memory, FLICKER_8K dataset
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