[PDF][PDF] Collecting a large-scale dataset of fine-grained cars
J Krause, J Deng, M Stark, L Fei-Fei - 2013 - pure.mpg.de
In this work we introduce a large-scale, fine-grained dataset of cars. This dataset, consisting
of 197 classes and 16,185 images, represents an order of magnitude increase in size over
the only existing fine-grained car dataset [7](14 classes, 1,904 images) and is comparable in
size to the largest fine-grained datasets publicly available [9, 3]. The goals of this work are
twofold: 1) to describe the difficulties encountered when collecting such a dataset and 2) to
present baseline performance for two state-of-the-art methods.
of 197 classes and 16,185 images, represents an order of magnitude increase in size over
the only existing fine-grained car dataset [7](14 classes, 1,904 images) and is comparable in
size to the largest fine-grained datasets publicly available [9, 3]. The goals of this work are
twofold: 1) to describe the difficulties encountered when collecting such a dataset and 2) to
present baseline performance for two state-of-the-art methods.
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