Results 31 to 40 of about 6,675,235 (374)
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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Annotation order matters: Recurrent Image Annotator for arbitrary length image tagging [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 International Conference on Pattern Recognition (ICPR) 2016, Cancun, Mexico (oral presentation)
Jin, Jiren, Nakayama, Hideki
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
Bechkoum, Kamal +3 more
core +1 more source
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
doaj +1 more source
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation
IEEE transactions on multimedia, 2020 In image analysis, image samples are always represented by multiple view features and associated with multiple class labels for better interpretation. However, multiple view data may include noisy, irrelevant and redundant features, while multiple class ...
Yongshan Zhang +3 more
semanticscholar +1 more source