Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Using Object Detection to Train Better Image Classifiers: Unexpected Findings from Validation of a Large, Synthetic International Nuclear Safeguards Dataset

Conference ·
DOI:https://doi.org/10.2172/2431930· OSTI ID:2431930
 [1];  [1];  [1]
  1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
Office of Defense Nuclear Nonproliferation
DOE Contract Number:
NA0003525
OSTI ID:
2431930
Report Number(s):
SAND2023-12725C
Country of Publication:
United States
Language:
English

Similar Records

Synthetic Training Images for Real-World Object Detection.
Conference · Mon Jun 01 00:00:00 EDT 2020 · OSTI ID:1804625

Synthetic Training Images for Real-World Object Detection.
Conference · Mon Jun 01 00:00:00 EDT 2020 · OSTI ID:1807426

The Use of Synthetic 3D Images to Drastically Reduce Real-World Training Data for Object Detection Models.
Conference · Fri Jan 31 23:00:00 EST 2020 · OSTI ID:1766905

Related Subjects