STN_2021__Training_dataset_generation_for_automatic_registration_of_a_duplicate_bridge_game.pdf (7.29 MB)
Download fileTraining dataset generation for automatic registration of a duplicate bridge game
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.plORCID of Submitting Author
0000-0001-6798-4444Submitting Author's Institution
AGH University of Science and TechnologySubmitting Author's Country
- Poland