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This paper addresses the challenging domain of vehicle classification from pole-mounted roadway cameras, specifically from side-profile views. A new public vehicle dataset is made available consisting of over 10000 side profile images (86 make/model and 9 sub-type classes). 5 state-of-the-art classifiers are applied to the dataset, with the best achieving high classification rates of 98.7% for sub-type and 99.7-99.9% for make and model recognition, confirming the assertion made that singledoi:10.1109/avss.2015.7301783 dblp:conf/avss/BoyleF15 fatcat:mdhuwpxlangwbgsjg54bbkwmha