3 papers
cs.CV2024
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing
Jacob Tyo, Motolani Olarinre, Youngseog Chung +1
Despite significant progress in optical character recognition (OCR) and computer vision systems, robustly recognizing text and identifying people in images taken in unconstrained \…
cs.CV2023
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset
Jacob Tyo, Youngseog Chung, Motolani Olarinre +1
This paper introduces the off-road motorcycle Racer number Dataset (RnD), a new challenging dataset for optical character recognition (OCR) research. RnD contains 2,411 images from…
cs.CV2023
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions
Jacob Tyo, Motolani Olarinre, Youngseog Chung +1
Re-identifying individuals in unconstrained environments remains an open challenge in computer vision. We introduce the Muddy Racer re-IDentification Dataset (MUDD), the first larg…