Image retrieval is a process that involves searching and retrieving images from large databases based on visual content or metadata. It leverages techniques from computer vision and machine learning to enable efficient and accurate retrieval of images relevant to user queries.

Image Retrieval

Image retrieval

large databases

visual content

Metadata is essentially data about data, providing context, structure, and meaning to the primary data it describes, thereby enhancing its usability and discoverability. It plays a crucial role in data management, enabling efficient organization, retrieval, and interpretation of information across various fields such as libraries, digital media, and data analytics.

metadata

Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world. It combines techniques from image processing, machine learning, and neural networks to allow machines to recognize objects, track movements, and understand scenes in a manner similar to human vision.

computer vision

Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. It leverages data to train models that can make predictions or decisions without being explicitly programmed for specific tasks.

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