Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{151577, author = {Suparna biswas and Priya Kumari and Sonali Mitra and Riya Sarkar and Sheik Md. Kadir and Sayan Roy Chaudhuri}, title = {YOLO Algorithm Based Real-Time Object Detection}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {8}, number = {1}, pages = {348-350}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=151577}, abstract = {The main objective of Real time object detection is to find the location of an object in a given picture accurately and mark the object with the appropriate category. In this paper we have used real time object detection You Look Only Once (YOLO) algorithm to train our machine learning model. YOLO is a clever neural network for doing object detection in real time and with the help of COCO Dataset the algorithm is trained to identify different objects in a particular image. After training this technique detect the object in real time with 90% accuracy.}, keywords = {YOLO, Object Detection, Neural Network, Bounding Boxes, OpenCV}, month = {}, }
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry