NEURAL NETWORK TRAINING PROCEDURES FOR SEARCHING AND RECOGNIZING CARGO CONTAINERS
Keywords:
Image, cargo container, search, recognition, neural network.
Abstract
This article describes training a Faster Rcnn Resnet 50 neural network to search and recognize a cargo container in an image. To train the model, you need to collect training data and label it appropriately. The neural network was trained in the Python programming language using the Tensorflow library.
Published
2022-10-31
How to Cite
Макаров, Роман. (2022, October 31). NEURAL NETWORK TRAINING PROCEDURES FOR SEARCHING AND RECOGNIZING CARGO CONTAINERS. Electronics, Photonics and Cyberphysical Systems, 2(3), 79-85. Retrieved from http://elphotkai.ru/article/view/455
Section
Cyber-physical systems
This work is licensed under a Creative Commons Attribution 4.0 International License.
