Real Time Object Detection using TensorFlow
Year: 2024
Type: article
Abstract: In recent years, deep learning has been used in image classification, object tracking, action recognition and scene labeling. Traditionally, Image Processing techniques were used to solve any Computer Vision problems occurred in an artificial intelligence system. However, in real-time identification, image processing cannot be used. This is where Deep Learning concepts are applied. We built a simple Convolutional Neural Network for object detection. The model is trained and multiple test cases are implemented in the TensorFlow environment so as to obtain accurate results
Institution: Don Bosco Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4399033449