prikaz prve stranice dokumenta Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci
Access restricted to authenticated users
undergraduate thesis
Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci
2022. urn:nbn:hr:179:810482
Barbir, Josip
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Barbir, J. (2022). Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:810482

Barbir, Josip. "Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:810482

Barbir, Josip. "Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:810482

Barbir, J. (2022). 'Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 26 January 2025, https://urn.nsk.hr/urn:nbn:hr:179:810482

Barbir J. Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2025 January 26] Available at: https://urn.nsk.hr/urn:nbn:hr:179:810482

J. Barbir, "Android aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:810482

Please login to the repository to save this object to your list.
Metadata
TitleAndroid aplikacija za detekciju objekata temeljena na Tensorflow Lite biblioteci
Title (english)Android application for object detection using TensorFlow library
AuthorJosip Barbir
MentorMatko Šarić https://orcid.org/0000-0001-9752-9653 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog završnog rada je izrada Android aplikacije za detekciju objekata uz primjenu TensorFlow Lite biblioteke. U sklopu rada obrađene su osnove detekcije objekata na slikama, biblioteke TensorFlow i TensorfFlow Lite te je detaljno opisan proces razvoja same aplikacije. Aplikacija je napravljena korištenjem Java i Kotlin programskih jezika.
Abstract (english)
The theme of this bachelor thesis is development of an Android application for object detection in images with usage of the TensorFlow Lite library. Topics covered within the thesis include the basics of object detection, TensorFlow and TensorFlow Lite libraries and a detailed description of the development process of the application. The application was made using Java and Kotlin programming languages.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:810482
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
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-02-21 11:45:20