Results 11 to 20 of about 496,156 (331)
KaIDA: a modular tool for assisting image annotation in deep learning [PDF]
Journal of Integrative Bioinformatics, 2022 Deep learning models achieve high-quality results in image processing. However, to robustly optimize parameters of deep neural networks, large annotated datasets are needed.
Schilling Marcel P. +3 more
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Assessing Representation Learning and Clustering Algorithms for Computer-Assisted Image Annotation—Simulating and Benchmarking MorphoCluster [PDF]
Sensors, 2022 Image annotation is a time-consuming and costly task. Previously, we published MorphoCluster as a novel image annotation tool to address problems of conventional, classifier-based image annotation approaches: their limited efficiency, training set bias ...
Simon-Martin Schröder, Rainer Kiko
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Visual attention mechanism and support vector machine based automatic image annotation. [PDF]
PLoS ONE, 2018 Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords.
Zhangang Hao, Hongwei Ge, Long Wang
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PhenoImageShare: an image annotation and query infrastructure [PDF]
Journal of Biomedical Semantics, 2016 High throughput imaging is now available to many groups and it is possible to generate a large quantity of high quality images quickly. Managing this data, consistently annotating it, or making it available to the community are all challenges that come with these methods.PhenoImageShare provides an ontology-enabled lightweight image data query ...
Adebayo, Solomon +7 more
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MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration. [PDF]
PLoS ONE, 2018 Digital imaging has become one of the most important techniques in environmental monitoring and exploration. In the case of the marine environment, mobile platforms such as autonomous underwater vehicles (AUVs) are now equipped with high-resolution ...
Martin Zurowietz +4 more
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Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis [PDF]
The Scientific World Journal, 2014 Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness,
D. K. Iakovidis +3 more
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Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges
IEEE Access, 2021 Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as texts are automatic image annotation (AIA ...
Myasar Mundher Adnan +5 more
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Frontiers in Marine Science, 2021 Marine imaging has evolved from small, narrowly focussed applications to large-scale applications covering areas of several hundred square kilometers or time series covering observation periods of several months.
Martin Zurowietz, Tim W. Nattkemper
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Annotating historical archives of images [PDF]
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries, 2008 Recent programs like the Million Book Project and Google Print Library Project have archived several million books in digital format, and within a few years a significant fraction of world’s books will be online. While the majority of the data will naturally be text, there will also be tens of millions of pages of images. Many of these images will defy
Lexiang Ye +3 more
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Automatic Annotation of Change Detection Images [PDF]
Sensors, 2021 Earth observation satellites have been capturing a variety of data about our planet for several decades, making many environmental applications possible such as change detection. Recently, deep learning methods have been proposed for urban change detection.
Neptune, Nathalie, Mothe, Josiane
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