Platform for Teaching Detection Classifiers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU90549" target="_blank" >RIV/00216305:26230/10:PU90549 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Platform for Teaching Detection Classifiers
Original language description
Scanning using very fast classifiers is a standard and successful approach to object detection in images. This approach became popular after Viola and Jones introduced their frontal face detector in 2001 which was able to reliably detect faces in unconstrained condition and in real-time. Although detecting objects by these classifiers is taught in many computer vision courses, it is not possible for the students to experiment with the methods because the existing implementations require significant initial effort to be able to train and test a classifier and to interpret the detection results in an intuitive way. In this paper, we describe a web-based application which allows experimenting with detection classifiers with minimal initial effort. The application has an intuitive user interface which allows for simple configuration of experiments and management of results. It also provides pre-prepared experiments and datasets in order to further reduce the initial effort. The application
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06008" target="_blank" >LC06008: Center of Computer Graphics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Digital Technologies 2010
ISBN
978-80-554-0304-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Zilina University Publisher
Place of publication
Žilina
Event location
Žilina, Slovensko
Event date
Nov 3, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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