IMU-Blur commenced our evaluation by randomly selecting 8350 clear images (aka. backgrounds) from existing image datasets~\cite{zhou2017places,quattoni2009recognizing}. By capturing IMU data during the motion blur induced by the RealSense D455i camera, we synthesized a dataset of 8350 blurred images accompanied by corresponding blur heat maps. Ultimately, this dataset, namely IMU-Blur, contains 6680 triplets for training and 1670 triplets for testing.

DOI Link: 
10.21227/fc66-w904
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[1] Simin Luan, "IMU-Blur", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/fc66-w904. Accessed: Jan. 17, 2025.
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doi = {10.21227/fc66-w904},
url = {http://dx.doi.org/10.21227/fc66-w904},
author = {Simin Luan },
publisher = {IEEE Dataport},
title = {IMU-Blur},
year = {2024} }
TY - DATA
T1 - IMU-Blur
AU - Simin Luan
PY - 2024
PB - IEEE Dataport
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Simin Luan. (2024). IMU-Blur. IEEE Dataport. http://dx.doi.org/10.21227/fc66-w904
Simin Luan, 2024. IMU-Blur. Available at: http://dx.doi.org/10.21227/fc66-w904.
Simin Luan. (2024). "IMU-Blur." Web.
1. Simin Luan. IMU-Blur [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/fc66-w904
Simin Luan. "IMU-Blur." doi: 10.21227/fc66-w904