Combining Synthetic Images and Deep Active Learning: Data-Efficient Training of an Industrial Object Detection Model

Combining Synthetic Images and Deep Active Learning: Data-Efficient Training of an Industrial Object Detection Model

Generating synthetic data is a promising solution to the challenge of limited training data for industrial deep learning applications. However, training on synthetic data and testing on real-world data creates a sim-to-real domain gap. Research has shown that the combination of synthetic and real im...

Full description

Bibliographic Details
Main Authors: Leon Eversberg, Jens Lambrecht
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Imaging
Subjects:
active learning
computer vision
data efficiency
deep active learning
deep learning
image synthesis
Online Access:https://www.mdpi.com/2313-433X/10/1/16

Internet

https://www.mdpi.com/2313-433X/10/1/16

Similar Items