CNN-based Classification of Car Images Implemented for Android Devices

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10454311" target="_blank" >RIV/00216208:11320/22:10454311 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3226/paper11.pdf" target="_blank" >https://ceur-ws.org/Vol-3226/paper11.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

CNN-based Classification of Car Images Implemented for Android Devices

Original language description

The design of efficient yet robust methods for real-time image classification belongs to scorching topics in contemporary AI, particularly in the case of mobile and edge devices. This paper thoroughly reviews the structure, performance, and main characteristics of neural networks proposed explicitly for mobile devices, e.g., MobileNet, and EfficientNet,. Based on the obtained results, we introduce a mobile-phone application to classify cars we might see on the street and search for nearby car dealerships, e.g., to buy a car similar to that one of interest.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CEUR Workshop Proceedings [online]

ISBN

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ISSN

1613-0073

e-ISSN

1613-0073

Number of pages

10

Pages from-to

93-102

Publisher name

CEUR-WS

Place of publication

RWTH Aachen

Event location

Zuberec, Slovakia

Event date

Sep 23, 2022

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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