[info] [Comp-neuro] Large real-world color object dataset available
Eugen Leitl
<eugen at leitl.org> on
Mon Oct 15 14:25:28 UTC 2007
----- Forwarded message from Alexander Gepperth <alexander.gepperth at honda-ri.de> -----
From: Alexander Gepperth <alexander.gepperth at honda-ri.de>
Date: Mon, 15 Oct 2007 16:08:06 +0200
To: comp-neuro at neuroinf.org
Subject: [Comp-neuro] Large real-world color object dataset available
User-Agent: Thunderbird 1.5.0.12 (X11/20060911)
A large dataset of real-world color objects is now available. It
consists of the object classes "car" (~1800 examples), "signal
board"(~1000 examples)
and "clutter"(~3500 examples). The objects were taken from the
segmentation results of a vision system operating within a moving car
and are thus
biased as well as imperfectly segmented, posing challenges to object
recognition. The data is partitioned into 4 classes of (heuristically
determined)
increasing complexity and difficulty.
The dataset consists of images in the standard PPM format and can be
obtained from
http://www.gepperth.eu/alexander/carDatasetsICANN.html
The paper in which this dataset is described and used is
A. Gepperth, B. Mersch, J. Fritsch, C. Goerick. Color object recognition
in real-world scenes.
In J.M. de Sa, editor, ICANN 2007, part II, Lecture notes in Computer
Science, number 4469.
Springer Verlag Berlin, Heidelberg, New York, 2007.
available from the same site:
http://www.gepperth.eu/alexander/papers/gepperthEtAl2007.ps
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