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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Underwater Computer Vision for Ecologists: A Framework for Curating Image Training Datasets for Object Detection [PDF]
SensorsAs marine ecosystems experience accelerating change, there is an urgent need for efficient and scalable biodiversity monitoring tools. We present a 10-step framework for integrating computer vision (CV) tools into long-term underwater biodiversity ...
Talen Rimmer +5 more
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Parallelizing support vector machines for scalable image annotation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
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Baselines for Image Annotation [PDF]
International Journal of Computer Vision, 2010 Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets.
Ameesh Makadia +2 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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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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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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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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