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?
- Natural Language Processing (NLP) Basics
- Evaluating Your RAG Applications: Methods and Metrics
- The Definitive Guide to Building RAG Apps with LangChain
- Embedding 101
- Exploring Vector Database Use Cases
- 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 is the future of open-source in AI development?
The future of open-source in AI development looks promising as it continues to shape the landscape of technology and inn
How do guardrails affect LLM performance?
Guardrails can slightly impact LLM performance in terms of response speed or flexibility due to additional processing st
What is a UAV (Unmanned Aerial Vehicle), and how does it work?
A UAV, or Unmanned Aerial Vehicle, is an aircraft that operates without a human pilot onboard. These devices are commonl