An Efficient Approach for Object Detection using Deep Learning

Authors

  • Nita S. patil
  • Sanjay M. Patil
  • Chandrashekhar M. Raut
  • Amol P. Pande
  • Ajay Reddy Yeruva
  • Harish Morwani

DOI:

https://doi.org/10.47750/pnr.2022.13.S09.062

Keywords:

Object Detection (OD), Deep Learning (DP), Machine Learning(Ml).

Abstract

Object identification is more significant application in Deep learning innovation which is recognized by areas of strength for its element learning and component portrayal contrasted and the customary article acknowledgement techniques. The paper presents the old-style strategies for object acknowledgement and elucidates the connection and contrast between the traditional techniques and the Deep learning strategies in object discovery. It presents the development of the article acknowledgement techniques in light of profound learning and explains the most ordinary strategies these days in the article location through Deep learning. In this paper we developed a model to check the accuracy based on the Deep Learning techniques to detect the object present within an image and enhance the quality.

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Published

2022-11-10

How to Cite

Nita S. patil, Sanjay M. Patil, Chandrashekhar M. Raut, Amol P. Pande, Ajay Reddy Yeruva, & Harish Morwani. (2022). An Efficient Approach for Object Detection using Deep Learning. Journal of Pharmaceutical Negative Results, 563–572. https://doi.org/10.47750/pnr.2022.13.S09.062

Issue

Section

Articles