Software pro vyhodnocení obrazových klasifikátorů

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F07%3APR23061" target="_blank" >RIV/00216305:26230/07:PR23061 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Platform for Evaluation of Image Classifiers

Popis výsledku v původním jazyce

During the work on the paper "Platform for Evaluation of Image Classifiers", we have created many software tools which together with some shell and awk scripts which form the classifier evaluation platform. There is some face data and the MNIST hand written digit database available. You can also create your own datasets using our tools. You can use the annotation program to annotate some regions in images and use dataset generator to create dataset from such annotations. The dataset generator resizes the annotated regions to specified size and can also add some random or fixed affine transformations and Gaussian noise. You can mannage the datasets with our merging and mixing tools. When the data is prepared, you can use our implementation of AdaBoost (odkaz) or any other algorithm to train classifiers and evaluate the results using evaluation scripts.

Název v anglickém jazyce

Platform for Evaluation of Image Classifiers

Popis výsledku anglicky

During the work on the paper "Platform for Evaluation of Image Classifiers", we have created many software tools which together with some shell and awk scripts which form the classifier evaluation platform. There is some face data and the MNIST hand written digit database available. You can also create your own datasets using our tools. You can use the annotation program to annotate some regions in images and use dataset generator to create dataset from such annotations. The dataset generator resizes the annotated regions to specified size and can also add some random or fixed affine transformations and Gaussian noise. You can mannage the datasets with our merging and mixing tools. When the data is prepared, you can use our implementation of AdaBoost (odkaz) or any other algorithm to train classifiers and evaluate the results using evaluation scripts.

Druh

X - Nezařazeno

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/LC06008" target="_blank" >LC06008: Centrum počítačové grafiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2007

Kód důvěrnosti údajů

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