Year: 2024
Type: article
Abstract: : Over the past 20 years, object detection has developed into a productive research area and an extensively used task in computer vision. It aims to rapidly and simply find many different things in a given image using specified categories. Based on the training model approach, the algorithms can be separated into two groups: One is the detection single-stage algorithms. The other is the detection of two-stage algorithms. In this study, sample processes for every stage are briefly announced. Following a review and discussion of several fundamental techniques, this article introduces public and proprietary datasets that are often used in object detection. Thus, the challenges in object recognition are noted.
Author: Sheetal R. Dehare
Institution: Dr. Babasaheb Ambedkar Marathwada University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402155464