ПРОЦЕДУРЫ ОБУЧЕНИЯ НЕЙРОННОЙ СЕТИ ДЛЯ ПОИСКА И РАСПОЗНАВАНИЯ ГРУЗОВЫХ КОНТЕЙНЕРОВ

Аннотация

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.