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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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Understanding the experience of neurodivergent workers in image and text data annotation
Computers in Human Behavior Reports, 2023 With the rise of large-scale data-driven innovation in AI, data annotation tasks found in digital work environments present an employment opportunity for neurodivergent individuals.
Elizabeth Garrison +7 more
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Diverse Image Annotation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 In this work we study the task of image annotation, of which the goal is to describe an image using a few tags. Instead of predicting the full list of tags, here we target for providing a short list of tags under a limited number (e.g., 3), to cover as much information as possible of the image. The tags in such a short list should be representative and
Baoyuan Wu +3 more
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Deep Convolutional Neural Network with KNN Regression for Automatic Image Annotation
Applied Sciences, 2021 Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for handcrafted features and manual approaches of linking concepts to ...
Ramla Bensaci +3 more
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IEEE Access, 2022 Every day, websites and personal archives generate an increasing number of photographs. The extent of these archives is unfathomable. The ease of usage of these enormous digital image collections contributes to their popularity. However, not all of these
Myasar Mundher Adnan +5 more
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AgriEngineering, 2023 Object detection is one of the most promising research topics currently, whose application in agriculture, however, can be challenged by the difficulty of annotating complex and crowded scenes. This study presents a brief performance assessment of YOLOv7,
Wenan Yuan
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Using Multiple Segmentations for Image Auto-Annotation [PDF]
, 2007 Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image regions.
Lewis, Paul, Tang, Jiayu
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Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Oukid, Saliha +7 more
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Label Correlation Guided Deep Multi-View Image Annotation
IEEE Access, 2019 Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue +4 more
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Automated Image Annotation With Novel Features Based on Deep ResNet50-SLT
IEEE Access, 2023 Due to their vast size, the growing number of digital images found in personal archives and on websites has become unmanageable, making it challenging to retrieve images from these large databases accurately.
Myasar Mundher Adnan +6 more
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