Computer vision in artificial intelligence (AI) is a field that enables machines to interpret and understand visual data in a way that mimics human perception. By combining AI algorithms with computer vision techniques, machines can analyze and process images or video to recognize patterns, detect objects, and make decisions. AI models, particularly deep learning models like convolutional neural networks (CNNs), are commonly used to power these capabilities. For example, computer vision is used in facial recognition systems, where AI algorithms are trained to match faces in images or videos. Other examples include optical character recognition (OCR), which extracts text from images, and object detection, where AI systems identify and classify objects within images or video streams. The role of AI is crucial in advancing computer vision, as it allows systems to become more accurate over time through learning from large datasets, making computer vision a key technology in applications like healthcare, security, and autonomous systems.
What is computer vision in artificial intelligence?
- Retrieval Augmented Generation (RAG) 101
- GenAI Ecosystem
- Natural Language Processing (NLP) Advanced Guide
- Master Video AI
- Information Retrieval 101
- 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
Why might two different runs of the same Sentence Transformer model give slightly different embedding results (is there randomness involved, and how can I control it)?
Two runs of the same Sentence Transformer model can produce slightly different embeddings due to inherent randomness in
What is the difference between univariate and multivariate time series?
Univariate and multivariate time series are two approaches to analyzing time-dependent data, and the key difference lies
How do cloud providers support application modernization?
Cloud providers support application modernization through various services and tools that help developers transition leg