A Survey of Deep Learning Object Detection Models for Business Intelligence Applications

Author(s)	Vinay Kumar T M, Varun Kumar V, T Nikhil, Sameeksha M
Country	India
Abstract	The ever-rising applications of Business Intelligence techniques in the present world demands integration with other deep learning techniques such as Object Detection, Natural Language Processing, etc. With the inclusion of Object Detection, business intelligence can provide intelligible insights into make business experience better. With a comprehensive elucidation of training time complexities and the multiple factors that play a vital role in its variation, this paper aims to provide a report of object detection techniques. The single-stage and two-stage detectors are separately taken into consideration, while explaining the pertinence of its use cases.
Keywords	Object Detection, Convolutional Neural Network, Training Time, Business Intelligence
Field	Engineering
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-08-31
Cite This	A Survey of Deep Learning Object Detection Models for Business Intelligence Applications - Vinay Kumar T M, Varun Kumar V, T Nikhil, Sameeksha M - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.26893
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.26893
Short DOI	https://doi.org/gt9hcd

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