NETL RDE Image Classification Dataset 2020 - 10 Classes
Abstract
Dataset including high-speed down-axis RDE images used for updated image classification study. This dataset includes 100,000 images with 10 classifications: 1CW, 1CCW, 2CW, 2CCW, 3CW, 3CCW, and Deflagration. Images are cropped to center annulus, and resized to 301x301 pixels. Images are filtered using the AFRL Beta correction factor.
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Research Org.:
- NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- AS; Dataset; Machine Learning; Rotating Detonation Engine
- OSTI Identifier:
- 2588661
- DOI:
- https://doi.org/10.18141/2588661
Citation Formats
Johnson, Kristyn. NETL RDE Image Classification Dataset 2020 - 10 Classes. United States: N. p., 2025.
Web. doi:10.18141/2588661.
Johnson, Kristyn. NETL RDE Image Classification Dataset 2020 - 10 Classes. United States. doi:https://doi.org/10.18141/2588661
Johnson, Kristyn. 2025.
"NETL RDE Image Classification Dataset 2020 - 10 Classes". United States. doi:https://doi.org/10.18141/2588661. https://www.osti.gov/servlets/purl/2588661. Pub date:Wed Sep 17 04:00:00 UTC 2025
@article{osti_2588661,
title = {NETL RDE Image Classification Dataset 2020 - 10 Classes},
author = {Johnson, Kristyn},
abstractNote = {Dataset including high-speed down-axis RDE images used for updated image classification study. This dataset includes 100,000 images with 10 classifications: 1CW, 1CCW, 2CW, 2CCW, 3CW, 3CCW, and Deflagration. Images are cropped to center annulus, and resized to 301x301 pixels. Images are filtered using the AFRL Beta correction factor.},
doi = {10.18141/2588661},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 17 04:00:00 UTC 2025},
month = {Wed Sep 17 04:00:00 UTC 2025}
}
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