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Abstract
With the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an oracle and repository of training samples. The paper presents the CenHive system implementing the proposed approach. Three different usage scenarios are presented that were used to verify the proposed approach.
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- Publication version
- Accepted or Published Version
- License
- Copyright (Springer Nature Switzerland AG 2020)
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Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
-
International Journal of Computer Information Systems and Industrial Management Applications
pages 220 - 229,
ISSN: - Title of issue:
- Computer Information Systems and Industrial Management strony 220 - 229
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Boiński T., Szymański J.: Collaborative Data Acquisition and Learning Support// Computer Information Systems and Industrial Management/ : , 2020, s.220-229
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-47679-3_19
- Verified by:
- Gdańsk University of Technology
Referenced datasets
- dataset Tagged images with bees 3
- dataset Tagged images with bees 2
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