VMMRdb

by F. Tafazzoli,K. Nishiyama,H. FriguiUnknown

VMMRdb

The Vehicle Make and Model Recognition dataset (VMMRdb) is large in scale and diversity, containing 9,170 classes consisting of 291,752 images, covering models manufactured between 1950 to 2016. VMMRdb dataset contains images that were taken by different users, different imaging devices, and multiple view angles, ensuring a wide range of variations to account for various scenarios that could be encountered in a real-life scenario. The cars are not well aligned, and some images contain irrelevant background. The data was gathered by crawling web pages related to vehicle sales on craigslist.com, including 712 areas covering all 412 sub-domains corresponding to US metro areas. Our dataset can be used as a baseline for training a robust model in several real-life scenarios.

Dataset Attributes

Label SVG
TasksClassification
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CategoriesCars, Vehicles, Automobiles
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SensorRGB Camera