STN_2021__Training_dataset_generation_for_automatic_registration_of_a_duplicate_bridge_game.pdf (7.29 MB)Download file
Training dataset generation for automatic registration of a duplicate bridge game
preprintposted on 2021-09-25, 05:43 authored 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.
This research was supported by the AGH University of Science and Technology project no. 126.96.36.1993 and PLGrid Infrastructure.
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