Object Detection

Author:

Sasikumar B 1,Naveen Kumar M 1

Affiliation:

1. Raja Rajeswari College of Engineering, Bengaluru, Karnataka, India

Abstract

With applications in image identification, augmented reality, autonomous driving, and surveillance, Itis crucial to this computer-vision. In this project uses sophisticated deep learning techniques to accomplish the thing detecting in Python. It makes use of neural networks using pre-trained convolutions (CNN) models, It is Used YOLO (You Only Look Once) or SSD (Single Shot Multibox Detector) in picture or video feeds to locate and identify things. Using popular libraries like PyTorch and Tensor Flow, when in this replica is developed, trained, and implemented using thispython programming language. Preprocessing procedures for handling incoming data, model training using annotated datasets, and inference on fresh photos or video frames are all included in the implementation. Additionally, the project investigates how accelerate inference so that real-time applications can use it.Evaluating the object identification system entails calculating important performance measures like F1 score, recall, and precision. The outcomes demonstrate how well the model can locate and recognize items in various circumstances. This work adds to the expanding machine vision and offers a useful manual for utilizing Python to achieve object of affection. The implementation's modular and flexible design makes it simple to modify for different use cases and datasets. The project's results demonstrate the possibility for more breakthroughs in practical uses, encouraging innovation in fields including image processing, autonomous systems, and surveillance.

Publisher

Naksh Solutions

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3