Image recognition involves the automatic identification of objects, people, or other visual features in digital images or videos. Image recognition systems use deep learning algorithms to analyze visual patterns and learn to recognize specific features in images. Speech recognition, on the other hand, involves the automatic transcription of spoken words into written text. Speech recognition systems use machine learning algorithms to analyze audio signals and learn to recognize different speech patterns. Despite these challenges, image and speech recognition have numerous applications in industry and academia, and are expected to play an increasingly important role in the future of technology.
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