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STN_2021__Training_dataset_generation_for_automatic_registration_of_a_duplicate_bridge_game.pdf (7.29 MB)
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Training dataset generation for automatic registration of a duplicate bridge game

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posted on 25.09.2021, 05:43 by Piotr Wzorek, Tomasz KryjakTomasz Kryjak
This paper presents a method for automatic generation of a training dataset for a deep convolutional neural network used for playing card detection. The solution allows to skip the time-consuming processes of manual image collecting and labelling recognised objects. The YOLOv4 network trained on the generated dataset achieved an efficiency of 99.8% in the cards detection task. The proposed method is a part of a project that aims to automate the process of broadcasting duplicate bridge competitions using a vision system and neural networks.

Funding

This research was supported by the AGH University of Science and Technology project no. 16.16.120.773 and PLGrid Infrastructure.

History

Email Address of Submitting Author

tomasz.kryjak@agh.edu.pl

ORCID of Submitting Author

0000-0001-6798-4444

Submitting Author's Institution

AGH University of Science and Technology

Submitting Author's Country

Poland