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  Published Paper Details:

  Paper Title

Image Colorization and Object Detection Using Machine Learning

  Authors

  Mr. Radha Shri Vamsi,  Mr. Jugal Alan,  Mr. Nishanth E,  Mr. Edwin Johny Michael,  Mrs. Snitha Shetty

  Keywords

image colorization, object detection, machine learning

  Abstract


This Image colorization is an essential image processing and computer vision branch to colorize images and videos. Recently, deep learning techniques progressed notably for image colorization and object detection. Our project presents a comprehensive approach of recent colorization using deep learning algorithm, describing their fundamental block architectures in terms of skip connections, input etc. as well as optimizers, loss functions, training protocols, and training data etc. The image features learned through deep learning techniques are more representative than the handcrafted features. Therefore, this review paper focuses on the object detection algorithms based on deep convolutional neural networks, while the detection techniques in recent years traditional object detection algorithms will be simply introduced as well. Through the review and analysis of deep learning-based object.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305170

  Paper ID - 236200

  Page Number(s) - b306-b309

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Radha Shri Vamsi,  Mr. Jugal Alan,  Mr. Nishanth E,  Mr. Edwin Johny Michael,  Mrs. Snitha Shetty,   "Image Colorization and Object Detection Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.b306-b309, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305170.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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