Experience with Using Synthetic Training Images for Wearable Cognitive Assistance
Experience with Using Synthetic Training Images for Wearable Cognitive Assistance
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发表时间：
2022
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通讯作者：
Roger Iyengar;Emily Zhang;M. Satyanarayanan
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作者：
Roger Iyengar;Emily Zhang;M. Satyanarayanan
可穿戴认知辅助 (WCA) 应用程序使用计算机视觉模型，需要数千张带标签的训练图像。捕获和标记这些图像需要大量的工作。通过使用合成生成的图像进行训练，我们避免了这一劳动密集型步骤。这些模型的性能与在真实图像上训练的模型相当。
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.