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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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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Image annotation with Photocopain [PDF]
, 2006 Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual ...
Brewster, Christopher +10 more
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Image Annotation Software for Artificial Intelligence Applications
High Yield Medical Reviews, 2023 Introduction: The growing trend in artificial intelligence has recently highlighted the demand for user-friendly and effective annotation tools for researchers.
Ayman Musleh +2 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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Semantic Annotation of Image Resources in Digital Humanities [PDF]
Nongye tushu qingbao xuebao, 2020 [Purpose/Significance] A large number of image resources in digital humanities have not been in effective use for a long time, and the phenomenon of "isolated image islands" is intensifying. The International Image Interoperability Framework (IIIF) opens
CHEN Tao, SHAN Rongrong, LI Hui
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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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An approach for image annotation automatization for artificial intelligence models learning
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2020 The article provides an analysis of image annotation process for artificial intelligence models within modern detection systems learning using modern tools for annotation.
A. Yakovlev, O. Lisovychenko
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