Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00133944" target="_blank" >RIV/00216224:14330/23:00133944 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-44207-0_50" target="_blank" >http://dx.doi.org/10.1007/978-3-031-44207-0_50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-44207-0_50" target="_blank" >10.1007/978-3-031-44207-0_50</a>
Alternative languages
Result language
angličtina
Original language name
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Original language description
Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly production of large labeled datasets. This paper presents an automatic data generation tool with a procedural model of a cardboard box. We briefly demonstrate the capabilities of the system, and its various parameters and empirically prove the usefulness of the generated synthetic data by training a simple neural network. We make sample synthetic data generated by the tool publicly available.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT I
ISBN
9783031442063
ISSN
0302-9743
e-ISSN
—
Number of pages
5
Pages from-to
565-569
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Heraklion, Greece
Event location
Heraklion, Greece
Event date
Jan 1, 2023
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
001156955400050