Language: | Slovenian |
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Year of publishing: | 2024 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [Ž. Besednjak] |
UDC: | 004.93:629.52(043.2) |
COBISS: | 193088771 |
Views: | 65 |
Downloads: | 15 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | River Vessels Recognition |
Secondary abstract: | The purpose of this thesis is to create a model for recognition of river vessels. It is going to be used for counting different vessels and analyzing river traffic and tourism activities. The model will be based on a family of YOLO models for recognition. The most important factor in the decision was the property of YOLO models to recognize objects in real time - more than 60 frames per seconds. Data for learning and evaluation is going to be acquired with filming traffic on river Soča on different locations and weather conditions. In need for a large set of labeled data we use systems for automatic labeling. Evaluation will be done on the test data and on real world examples. |
Secondary keywords: | recognition;labeling;YOLO;river traffic;computer and information science;diploma;Vodna plovila;Razpoznavanje objektov (računalništvo);Računalništvo;Univerzitetna in visokošolska dela; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000468 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 45 str. |
ID: | 23510878 |