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?
Keep Reading
What is content-based image retrieval (CBIR)?
Content-based image retrieval (CBIR) is a technique used to search and retrieve images from databases based on their vis
What is normalization in SQL databases?
Normalization in SQL databases is a process used to organize data in a way that reduces redundancy and improves data int
How do LLM guardrails integrate with content delivery pipelines?
LLM guardrails integrate with content delivery pipelines by acting as an intermediate layer between the model’s output a


