A Dataset Containing Tiny Vehicle Images Collected in Low Quality Imaging Conditions

This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and different weather conditions. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels and 96 dpi resolution. The peer-reviewed data descriptor for this dataset has been published in MDPI Sustainability - an open access journal, and can be accessed here: https://doi.org/10.3390/su152316292. Please cite this when using the dataset.

Related Organizations

Atilim University
Turkey
Norwegian University of Science and Technology
Norway
Gazi University
Turkey

Keywords

tiny images, bad weather, intelligent transportation system, low quality, convolutional neural networks, poor imaging conditions, deep learning, internet of things, vehicle classification

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