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

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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.

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Pattern Recognition (Psychology), Computer Science, Quality (Philosophy), Artificial Intelligence, Computer Vision, 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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0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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