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Importance of realism in procedurally-generated synthetic images for
  deep learning: case studies in maize and canola

Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola

8 April 2024
N. Khan
Mikolaj Cieslak
Ian McQuillan
ArXivPDFHTML

Papers citing "Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola"

1 / 1 papers shown
Title
Synthetic data, real errors: how (not) to publish and use synthetic data
Synthetic data, real errors: how (not) to publish and use synthetic data
B. V. Breugel
Zhaozhi Qian
M. Schaar
SyDa
64
28
0
16 May 2023
1