This study introduces a significant advancement in vehicle classification, addressing the challenge of limited annotated datasets compliant with Federal Highway Administration (FHWA) guidelines. We present a novel benchmark dataset meticulously curated from various sources to capture variations in time, resolution, camera position, and weather conditions. With a total of 17,174 annotated instances across 7,980 frames, this dataset offers a remarkable granularity for vehicle classification, making this study the first of its kind, to the best of the author’s knowledge.

Dataset Files

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[1] Armstrong Aboah, "FHWA Vehicle Classification Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/73g5-k547. Accessed: Jul. 22, 2024.
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doi = {10.21227/73g5-k547},
url = {http://dx.doi.org/10.21227/73g5-k547},
author = {Armstrong Aboah },
publisher = {IEEE Dataport},
title = {FHWA Vehicle Classification Dataset},
year = {2024} }
TY - DATA
T1 - FHWA Vehicle Classification Dataset
AU - Armstrong Aboah
PY - 2024
PB - IEEE Dataport
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Armstrong Aboah. (2024). FHWA Vehicle Classification Dataset. IEEE Dataport. http://dx.doi.org/10.21227/73g5-k547
Armstrong Aboah, 2024. FHWA Vehicle Classification Dataset. Available at: http://dx.doi.org/10.21227/73g5-k547.
Armstrong Aboah. (2024). "FHWA Vehicle Classification Dataset." Web.
1. Armstrong Aboah. FHWA Vehicle Classification Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/73g5-k547
Armstrong Aboah. "FHWA Vehicle Classification Dataset." doi: 10.21227/73g5-k547