Year: 2023
Type: article
Abstract: Object detection is a critical part of computer vision, allowing machines to recognize and identify objects in images or videos. Using Python and modern deep learning models like YOLO, SSD, and Faster R-CNN, this paper showcases techniques to achieve accurate, real-time object detection. The proposed system uses libraries such as TensorFlow and PyTorch for training and inference, focusing on real-world applications like security, autonomous vehicles, and healthcare.
Authors: Sunit Jana, Rakhi Biswas, Koushik Pal
Institution: Guru Nanak Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406215814