International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Object Detection in Diverse Environment

Author(s) Manas Nandi, Kumar Ankit, Prof. Anil Singh Parihar
Country India
Abstract This project focuses on the creation of a custom dataset for object detection, employing meticulous annotation techniques and diverse data sources. The dataset is evaluated using various object detection models, including YOLOv8, on both the custom dataset and established benchmarks. Through comparative analysis, the quality, diversity, and generalizability of the custom dataset are assessed. Additionally, the impact of dataset quality on model performance is examined, highlighting areas for improvement. Furthermore, the integration of Generative Adversarial Networks (GANs) to augment dataset diversity is explored. Future work involves refining dataset collection methodologies, exploring novel architectures, and integrating domain adaptation techniques to enhance model robustness and applicability in real-world scenarios.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-23
Cite This Object Detection in Diverse Environment - Manas Nandi, Kumar Ankit, Prof. Anil Singh Parihar - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20732
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