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?

- Getting Started with Milvus
- Evaluating Your RAG Applications: Methods and Metrics
- Natural Language Processing (NLP) Basics
- Optimizing Your RAG Applications: Strategies and Methods
- 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
How does augmentation affect hyperparameter optimization?
Augmentation significantly impacts hyperparameter optimization by introducing variability and complexity into the traini
What is the difference between sampling diversity and sample fidelity?
Sampling diversity and sample fidelity are two important concepts when evaluating the quality of data samples or selecti
Where can I find tutorials about RGB-D image segmentation?
Tutorials on RGB-D (color and depth) image segmentation can be found on platforms like Medium, YouTube, and GitHub. Spec