Results 11 to 20 of about 129,731 (262)
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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Annotating historical archives of images [PDF]
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries, 2008 Recent programs like the Million Book Project and Google Print Library Project have archived several million books in digital format, and within a few years a significant fraction of world’s books will be online. While the majority of the data will naturally be text, there will also be tens of millions of pages of images. Many of these images will defy
Xiaoyue Wang 0004 +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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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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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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Image Annotation with Adobe Photoshop [PDF]
Journal of Digital Imaging, 2002 The authors relate the basic steps used to annotate grayscale cross sectional images with keyboard characters, arrowheads, and arrows using Adobe Photoshop 6.0 and 7.0.
Ronald D. Caruso, Gregory C. Postel
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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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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)
Jiren Jin, Hideki Nakayama
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