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(1) If the text is confirmed to be recognizable with the naked eye, you should first make sure that the detection box is correct. If not, it is necessary to consider pretraining images with color filtering and adding more relevant training data. During the recognition, add augmentation images where texts are blurred by the background to the training data.
(2) If the MobileNet cannot meet the demand, you can try larger models such as ResNet.
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A:
(1) If the text is confirmed to be recognizable with the naked eye, you should first make sure that the detection box is correct. If not, it is necessary to consider pretraining images with color filtering and adding more relevant training data. During the recognition, add augmentation images where texts are blurred by the background to the training data.
(2) If the MobileNet cannot meet the demand, you can try larger models such as ResNet.
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