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@article{174795,
        author = {Anurag Srivastav and Vishal Mishra and Ashish Saini and Ms. Akanksha Jain},
        title = {REAL TIME OBJECT DETECTION USING YOLO},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1111-1115},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174795},
        abstract = {Object detection is extensively used inside the subject of laptop vision and vital for style of programs, e.g., self-using car. at some stage in the improvement of half of a century, item detection strategies were constantly advanced, and generated numerous processes which received promising achievements. At gift, the approach of item detection has been largely advanced into two categories which can be traditional machine studying strategies utilizing numerous computer vision techniques and deep getting to know approach. this article gives a assessment of item detection techniques. firstly, the present methods based totally on traditional gadget mastering are summarized and brought. Then, most important colleges of deep mastering strategies, R-CNN and YOLO, are decided on for analysis and advent. at the stop of the article, the techniques cited are in brief as compared and discussed.},
        keywords = {},
        month = {April},
        }