Experience with Using Synthetic Training Images for Wearable Cognitive Assistance
• Conference Paper
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
Publisher
Software Engineering Institute
Abstract
Wearable Cognitive Assistance (WCA) applications use computer vision models that require thousands of labeled training images. Capturing and labeling these images requires a substantial amount of work. By using synthetically generated images for training, we avoided this labor-intensive step. The performance of these models was comparable to that of models that were trained on real images.
Part of a Collection
Proceedings of the AAAI Spring Symposium on AI Engineering, 2022
AI Engineering Assets