Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112006" target="_blank" >RIV/00216305:26230/14:PU112006 - isvavai.cz</a>
Result on the web
<a href="http://medusa.fit.vutbr.cz/SynthCars/" target="_blank" >http://medusa.fit.vutbr.cz/SynthCars/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2643188.2643191" target="_blank" >10.1145/2643188.2643191</a>

Result language
angličtina
Original language name
Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles
Original language description
Detection of vehicles in traffic surveillance needs good and large training datasets in order to achieve competitive detection rates. We are showing an approach to automatic synthesis of custom datasets, simulating various major influences: viewpoint, camera parameters, sunlight, surrounding environment, etc. Our goal is to create a competitive vehicle detector which "has not seen a real car before." We are using Blender as the modeling and rendering engine. A suitable scene graph accompanied by a set of scripts was created, that allows simple configuration of the synthesized dataset. The generator is also capable of storing rich set of metadata that are used as annotations of the synthesized images. We synthesized several experimental datasets, evaluated their statistical properties, as compared to real-life datasets. Most importantly, we trained a detector on the synthetic data. Its detection performance is comparable to a detector trained on state-of-the-art real-life dataset. Synthesis of a dataset of 10,000 images takes only several hours, which is much more efficient, compared to manual annotation, let aside the possibility of human error in annotation.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of Spring Conference on Computer Graphics
ISBN
978-80-223-3601-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
105-112
Publisher name
Comenius University in Bratislava
Place of publication
Smolenice
Event location
Smolenice
Event date
May 27, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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