Computer vision is a field of computer science focused on enabling machines to interpret and understand visual information from the world. This involves processing and analyzing images or video to extract meaningful data such as objects, depth, motion, and patterns. Computer vision systems use algorithms and models to simulate human visual perception, which can be applied in numerous industries. Common applications include face recognition, where algorithms identify individuals based on their facial features, and object detection, which locates and classifies objects in images or videos, commonly used in surveillance or autonomous vehicles. Medical imaging is another application, where computer vision helps in detecting abnormalities such as tumors or fractures in X-ray or MRI scans. In manufacturing, computer vision is used for quality control, inspecting products on assembly lines for defects. The primary goal is to automate tasks that traditionally required human visual interpretation, improving accuracy, efficiency, and decision-making in various sectors.
What is computer vision and its application?
- AI & Machine Learning
- Embedding 101
- Large Language Models (LLMs) 101
- Natural Language Processing (NLP) Basics
- The Definitive Guide to Building RAG Apps with LangChain
- 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 challenges are there in building TTS for non-English languages?
**1. Data Scarcity and Quality**
Building TTS systems for non-English languages often faces limited training data. High
How do multi-agent systems model population dynamics?
Multi-agent systems (MAS) model population dynamics by simulating interactions among individual agents that represent me
How does speech recognition deal with multilingual speakers?
Speech recognition systems that handle multilingual speakers do so by integrating several key techniques tailored to rec