The main difference between Natural Language Processing (NLP) and computer vision lies in the type of data they process. NLP focuses on understanding and generating human language, analyzing textual data for tasks like translation, sentiment analysis, and text summarization. Computer vision, on the other hand, deals with visual data such as images and videos, performing tasks like object detection, image segmentation, and facial recognition. While both fields leverage AI techniques, NLP primarily uses transformers like BERT, whereas computer vision often relies on convolutional neural networks (CNNs) and Vision Transformers (ViTs).
Where is the difference between NLP and computer vision?
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