The model classifies upright images correctly.Rotated versions of the same images fail.The content is the same.Only orientation changed.
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Asked: March 14, 2025In: Deep Learning
My speech-to-text model produces accurate transcripts when tested in a quiet office.However, when I try to use it in public places, accuracy drops sharply.Background noise causes words to be skipped or misheard.The model feels fragile outside controlled ...