Visual information refers to data that is perceived and processed visually, such as images, videos, or spatial patterns. In the context of computer vision and AI, visual information includes features like color, texture, edges, and shapes extracted from visual inputs. This data is used to interpret and understand the content of images or scenes. For example, visual information is utilized in object detection, where features like contours and gradients help identify and classify objects. Processing visual information is essential in fields like robotics, augmented reality, and surveillance to enable intelligent decision-making and interaction.
What is visual information?

- AI & Machine Learning
- Natural Language Processing (NLP) Basics
- Natural Language Processing (NLP) Advanced Guide
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Evaluating Your RAG Applications: Methods and Metrics
- 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 role of automation in data analytics?
Automation plays a vital role in data analytics by streamlining processes, improving accuracy, and enhancing efficiency.
How do head-mounted displays (HMDs) function?
Head-mounted displays (HMDs) function by using a combination of optical and electronic components to create a visual exp
How do we ensure that the test dataset truly requires retrieval augmentation (i.e., the answers are not already memorized by the model or trivial without external info)?
To ensure a test dataset genuinely requires retrieval augmentation, focus on three key areas: dataset construction, adve