Combining Synthetic Images and Deep Active Learning: Data-Efficient Training of an Industrial Object Detection Model
Leon Eversberg,
Jens Lambrecht
Abstract: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 images leads to better results than those that are generated using only one source of data. In this work, the generation of synthetic training images via physics-based rendering is combined with deep active learning f… Show more
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