Object Detection for Enhanced Visuals Using Deep Learning

Object Detection for Enhanced Visuals Using Deep Learning

M. Amrutha Varshini1, P. Madhuri2, V. Girija3, M. Sarath4, R. Venakata Ramana5

[1-4]B.Tech Student , 5 Assistant Professor, Lendi Institute of Engineering and Technology

[1,2,3,4,5]Computer Science and System Engineering, Lendi Institute of Engineering and Technology, Vizianagaram

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ABSTRACT

Object detection serves as a foundational aspect in computer vision, finding utility across a spectrum of applications spanning autonomous driving to security surveillance. The primary objective of this endeavor was to engineer a resilient and effective object detection framework leveraging deep learning methodologies, subsequently assessing its efficacy on real-world datasets. The project leveraged contemporary neural network architectures alongside modern tools for data preprocessing and evaluation.

Keywords: Single shot Detector (SSD), Pre-Processing, Deep Learning, Image Processing, Classification.