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undergraduate thesis
Semantička segmentacija za manipuliranje odjevnim predmetima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:889513
Wachtler, Elena
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Wachtler, E. (2022). Semantička segmentacija za manipuliranje odjevnim predmetima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:889513

Wachtler, Elena. "Semantička segmentacija za manipuliranje odjevnim predmetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:889513

Wachtler, Elena. "Semantička segmentacija za manipuliranje odjevnim predmetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:889513

Wachtler, E. (2022). 'Semantička segmentacija za manipuliranje odjevnim predmetima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 13 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:889513

Wachtler E. Semantička segmentacija za manipuliranje odjevnim predmetima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 13] Available at: https://urn.nsk.hr/urn:nbn:hr:168:889513

E. Wachtler, "Semantička segmentacija za manipuliranje odjevnim predmetima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:889513

Metadata
TitleSemantička segmentacija za manipuliranje odjevnim predmetima
Title (english)Semantic segmentation for garment manipulation
AuthorElena Wachtler
MentorTamara Petrović (mentor)
Committee memberTamara Petrović (član povjerenstva)
Committee memberAna Milas (član povjerenstva)
Committee memberMarijana Peti (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Klasifikacija slika pokušava predvidjeti klasu dotad neviđene slike na osnovu velikog broja primjera kojima je klasa poznata. Takav problem nailazi na razna rješenja, većinom u području umjetne inteligencije. Danas su za rješavanje ovog problema vrlo često korištene konvolucijske neuronske mreže. Upravo je taj alat umjetne inteligencije korišten za klasifikaciju odjevnih predmeta u slici u ovome radu. U radu je implementirana klasifikacija odjevnih predmeta pomoću konvolucijskih reuronskih mreža trenirana na FashionMNIST i DeepFashion skupovima podataka te je analizirana točnost za različite testne skupove.
Abstract (english)
Image classification is an attempt to predict the class of an image that has not yet been seen, based on a large dataset of examples to which a class is known. This problem has many possible solutions, most of which come from artificial intelligence. A very commonly used way to solve this issue today are convolutional neural networks, and that is the tool of artificial intelligence chosen to solve the issue of classification of fashion apparel in this particular paper. In this thesis a method for classification is implemented, which is bazen on convolutional neural networks and is trained on FashionMNIST and DeepFashion datasets. Quality of the method is analyzed for different test datasets.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:889513
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 on2023-01-15 11:27:25