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?
- AI & Machine Learning
- Natural Language Processing (NLP) Basics
- How to Pick the Right Vector Database for Your Use Case
- Getting Started with Milvus
- Getting Started with Zilliz Cloud
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What strategies help reduce downtime during ETL maintenance?
To reduce downtime during ETL maintenance, three key strategies include implementing incremental processing, decoupling
What is cloud-native development?
Cloud-native development is a modern approach to building and running applications that fully leverages the benefits of
What are the seminal papers on computer vision?
Several seminal papers have significantly shaped the field of computer vision. One of the most influential is "A Computa