%0 Journal Article %1 noauthororeditor %A A, Sreejith S P | Vijayakumar %D 2021 %J International Journal of Trend in Scientific Research and Development %K Automatic P S Sreejith Vijayakumar | %N 4 %P 832-834 %T Image Captioning Generator using Deep Machine Learning %U https://www.ijtsrd.comcomputer-science/artificial-intelligence/42344/image-captioning-generator-using-deep-machine-learning/sreejith-s-p %V 5 %X Technologys 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. Sreejith S P | Vijayakumar A "Image Captioning Generator using Deep Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42344.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/42344/image-captioning-generator-using-deep-machine-learning/sreejith-s-p

@article{noauthororeditor, abstract = {Technologys 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. Sreejith S P | Vijayakumar A "Image Captioning Generator using Deep Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42344.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/42344/image-captioning-generator-using-deep-machine-learning/sreejith-s-p }, added-at = {2021-07-15T10:28:46.000+0200}, author = {A, Sreejith S P | Vijayakumar}, biburl = {https://www.bibsonomy.org/bibtex/2d3274499beee4259045c9b0784eaa135/ijtsrd}, interhash = {a2a028a71614c7f5ff9f56435b2d0449}, intrahash = {d3274499beee4259045c9b0784eaa135}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Automatic P S Sreejith Vijayakumar |}, language = {english}, month = jun, number = 4, pages = {832-834}, timestamp = {2021-07-15T10:28:46.000+0200}, title = {Image Captioning Generator using Deep Machine Learning }, url = {https://www.ijtsrd.comcomputer-science/artificial-intelligence/42344/image-captioning-generator-using-deep-machine-learning/sreejith-s-p}, volume = 5, year = 2021 }