prikaz prve stranice dokumenta Automatic Score Counting for Rummy
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undergraduate thesis
Automatic Score Counting for Rummy
2024. urn:nbn:hr:168:922727
Horvat, Ivor
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Horvat, I. (2024). Automatic Score Counting for Rummy (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:922727

Horvat, Ivor. "Automatic Score Counting for Rummy." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:922727

Horvat, Ivor. "Automatic Score Counting for Rummy." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:922727

Horvat, I. (2024). 'Automatic Score Counting for Rummy', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:922727

Horvat I. Automatic Score Counting for Rummy [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 February 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:922727

I. Horvat, "Automatic Score Counting for Rummy", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:922727

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Metadata
TitleAutomatic Score Counting for Rummy
Title (english)Automatic Score Counting for Rummy
AuthorIvor Horvat
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberNenad Markuš (član povjerenstva)
Committee memberMirta Moslavac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-06-27, Croatia
Abstract
Ovaj rad primjenjuje teoriju dubokog učenja u stvaranju web aplikacije za automatsko brojanje bodova u igri Rummy. Koristeći duboke konvolucijske neuralne mreže, aplikacija detektira karte na slikama te izračunava bodove. Uz pomoć Faster R-CNN algoritma rješava problem detekcije objekata, odnosno karata na slici. Rezultati treniranja pokazuju da model uspjeva naučiti kako generalizirati podatke. Ovaj sustav pruža točniji i brži način izračunavanja bodova u usporedbi s tradicionalnom metodom.
Abstract (english)
This paper demonstrates the usage of deep learning in creating a web application for automatic scoring of the card game Rummy. Specifically, it uses deep convolutional neural networks to detect the cards in the images, while also calculating the score. It solves the object detection problem by using the faster R-CNN algorithm. The results of the training show that the model has been able to learn from the generated dataset and is also able to generalize the data. The system is expected to provide a more accurate and faster way of calculating the score compared to the traditional manual method.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:922727
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2025-02-25 14:57:19