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