Object Detection using Artificial Intelligence and Machine Learning

Authors

  • Nitesh Kumar

Keywords:

Computer Vision, Object detection, Yolov

Abstract

Computer vision is indeed a branch of artificial intelligence which teaches machines to identify and manage images. Utilizing digital photos or videos with deep neural networks, computers can reliably detect and classify items. Object detection is the technique used to detect the objects in particular images or videos. The YOLO family of techniques, which have very great speed and accuracy, have been used in numerous scenario detection jobs as object detection technology has progressed. Depending on the YOLOv5 model, the suggested model detects the type of cars on the road. This model with different parameters for training and testing. The results shows that the algorithm proposed can easily recognize the type of vehicles which are in public places or in traffic areas.

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Published

2021-08-10

How to Cite

Nitesh Kumar. (2021). Object Detection using Artificial Intelligence and Machine Learning. Journal of Research Proceedings, 1(2), 233–242. Retrieved from http://i-jrp.com/index.php/jrp/article/view/59