Automatic image annotation for fluorescent cell nuclei segmentation. [PDF]
PLoS ONE, 2021 Dataset annotation is a time and labor-intensive task and an integral requirement for training and testing deep learning models. The segmentation of images in life science microscopy requires annotated image datasets for object detection tasks such as ...
Fabian Englbrecht +2 more
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Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges [PDF]
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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Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotation [PDF]
Frontiers in Big Data, 2023 Color similarity has been a key feature for content-based image retrieval by contemporary search engines, such as Google. In this study, we compare the visual content information of images, obtained through color histograms, with their corresponding ...
Stamatios Giannoulakis +2 more
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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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DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models [PDF]
Remote SensingInstance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious.
Huadong Li +3 more
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Bimodal network architectures for automatic generation of image annotation from text [PDF]
, 2018 Medical image analysis practitioners have embraced big data methodologies. This has created a need for large annotated datasets. The source of big data is typically large image collections and clinical reports recorded for these images.
Mehdi Moradi +4 more
openalex +3 more sources
Journal of Electrical, Electronics and Informatics, 2018 Image databases are becoming very large nowadays, and there is an increasing need for automatic image annotation, for assiting on finding the desired specific image.
Theresia Hendrawati, Duman Care Khrisne
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Image Segmentation for Automatic Needle Puncture Annotation in Vibroacoustic Signals [PDF]
Current Directions in Biomedical EngineeringManual annotation of biomedical data is often a prolonged and error-prone process, particularly in scenarios involving dynamic physical interactions, such as needle insertions into soft tissue.
Strama Karol +6 more
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YOLOv10n-CF-Lite: A Method for Individual Face Recognition of Hu Sheep Based on Automated Annotation and Transfer Learning [PDF]
AnimalsIndividual recognition of Hu sheep is a core requirement for precision livestock management, significantly improving breeding efficiency and fine management.
Yameng Qiao +7 more
doaj +2 more sources
Automatic Annotation to Rank the Images
International journal of Latest Trends in Engineering & Technology, 2016 openalex +2 more sources