EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification.

ABSTRACT: Convolutional neural network is widely used to perform the task of image classification, including pretraining, followed by fine-tuning whereby features are adapted to perform the target task, on ImageNet. ImageNet is a large database consisting of 15 million images belonging to 22,000 categories. Images collected from the Web are labeled using Amazon Mechanical Turk crowd-sourcing tool by human labelers. ImageNet is useful for transfer learning because of the sheer volume of its dataset and the number of object classes available. Transfer learning using pretrained models is useful because it helps to build computer vision models in an accurate and inexpensive manner. Models that have been pretrained on substantial datasets are used and repurposed for our requirements. Scene recognition is

SUBMITTER: Sobti P 

PROVIDER: S-EPMC8176534 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature