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PHRASE RECOGNITION MODEL FOR AUTONOMOUS VEHICLES

机译:自主车辆的短语识别模型

摘要

Aspects of the disclosure relate to training and using a phrase recognition model to identify phrases in images. As an example, a selected phrase list may include a plurality of phrases is received. Each phrase of the plurality of phrases includes text. An initial plurality of images may be received. A training image set may be selected from the initial plurality of images by identifying the phrase-containing images that include one or more phrases from the selected phrase list. Each given phrase-containing image of the training image set may be labeled with information identifying the one or more phrases from the selected phrase list included in the given phrase-containing images. The model may be trained based on the training image set such that the model is configured to, in response to receiving an input image, output data indicating whether a phrase of the plurality of phrases is included in the input image.
机译:本公开的各方面涉及训练和使用短语识别模型来识别图像中的短语。作为示例,所选择的短语列表可以包括多个短语被接收。多个短语中的每个短语包括文本。可以接收初始的多个图像。可以通过从包括多个短语的初始图像中识别出包含短语的图像来选择训练图像集合,其中,所述包含短语的图像包括来自所选短语列表的一个或多个短语。训练图像集合的每个给定的包含短语的图像可以被标记有信息,该信息标识出包括在给定的包含短语的图像中的所选短语列表中的一个或多个短语。可以基于训练图像集来训练模型,使得模型被配置为响应于接收到输入图像,输出数据,该输出数据指示在输入图像中是否包括多个短语中的短语。

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