A Comprehensive Study on Object Detection Techniques in Unfettered Environments

Author(s)	Dr. Sangeeta Mahesh Borde, Dr. Harsh Lohiya
Country	India
Abstract	In computer vision, object detection is an essential task to identify and classify objects in an image or video. The recent advancements in deep learning and convolutional neural networks (CNNs) have significantly improved the performance of object detection techniques. In an unconstrained environment, the study in this paper provides a detailed analysis of object detection techniques and various challenges, datasets, and state-of-the-art approaches. In addition, comparative methods are presented, and their strengths and weaknesses are highlighted. Finally, we've provided some new research directions for improving the detection of objects in uncontrolled environments.
Keywords	Object detection, Deep learning, CNN and computer vision.
Field	Computer Applications
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-31
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.45817
Short DOI	https://doi.org/g9mtrv

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International Journal For Multidisciplinary Research