Computer vision is a field of artificial intelligence (AI) that focuses on enabling machines to understand and interpret visual information, such as images and videos, similar to how humans do. The goal of computer vision is to allow machines to recognize objects, detect patterns, and analyze scenes, which can then be used to make decisions or perform tasks. For example, in image classification, computer vision models can identify the contents of an image, such as distinguishing between a cat and a dog. Another application is object detection, where the system identifies and locates objects in an image, such as recognizing and marking the location of pedestrians in a self-driving car’s camera feed. Facial recognition is another well-known use of computer vision, where systems can identify or verify a person’s identity based on facial features. Overall, computer vision leverages algorithms like convolutional neural networks (CNNs) to process and understand visual data, making it an essential tool in applications across healthcare, automotive, and security sectors.
What is computer vision?
- Natural Language Processing (NLP) Basics
- AI & Machine Learning
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Getting Started with Zilliz Cloud
- Natural Language Processing (NLP) Advanced Guide
- 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 advancements are being made in VR sensor technologies?
Advancements in virtual reality (VR) sensor technologies are enhancing the user experience by improving motion tracking,
How does cloud computing enable Internet of Things (IoT)?
Cloud computing plays a crucial role in enabling the Internet of Things (IoT) by providing the necessary infrastructure
What are hybrid embeddings?
Hybrid embeddings refer to representations that combine multiple types of embeddings or modalities to capture richer, mo