The Gas Prices of America (GPA) Dataverse is a collection of the multiple datasets related to the GPA Benchmark Dataset. The GPA dataset is a benchmark image dataset for non-integer, multi-number, multi-digit values in the wild.
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Jan 23, 2022
Kevin Dick; Joshua B. Tanner; François Charih; James R. Green, 2022, "Fully Annotated Gas Prices of America Dataset for Multi-Metric Extraction in the Wild", https://doi.org/10.5683/SP3/NRGMMB, Borealis, V2
The fully annotated Gas Prices of America Dataset for Multi-Metric Extraction (GPA4MME) is a large-scale dataset of metric-specific annotations for gas prices and gas signs obtained from Google Streetview throughout the 49 mainland United States of America. The annotations greatl...
May 13, 2020
Dick, Kevin; Charih, François; Woo, Jimmy; Green, James R., 2020, "Sampled 2048 GPA Images with Annotated Regular Gas Price", https://doi.org/10.5683/SP2/KQ6VNG, Borealis, V2, UNF:6:C9vHD1Z2xefAinD4FNUrbw== [fileUNF]
The GPA is a real-world, benchmark image dataset for developing an evaluating machine learning and character/digit recognition algorithms. This dataset is a sample of 2048 images from throughout the United States of America along with the annotated regular, unleaded, cash price d...
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