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{155378,
        author = {ANUJ KUMAR YADAV and DR. NARESH CHAUHAN},
        title = {Study on Object Detection Using Deep Learning Models},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {10},
        pages = {78-83},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155378},
        abstract = {Object Detection is a technique related to detecting objects an object of a certain class (such as a person, building, or car) in digital images or videos. The machine will process the image or video and will produces output for each detected object along with the appropriate label with classes. The engine will also display a bounding box on the detected object and will display the accuracy value of detection. However, this study evaluates the various models used in object detection using Deep Learning Techniques. Therefore, as per various researches in past and adhered the scheme observed that the Convolution Neural Networks is an effective model to identify object's accurately and swiftly.},
        keywords = {Object Detection, Computer Vision, Deep Learning, Neural Networks.},
        month = {},
        }