Image

Data Type

An image is a visual representation of data in the form of a picture, photograph, or graphic.

It is used when there is a need to analyze or process visual information, such as in object detection, image classification, and facial recognition. Images are commonly applied in scenarios such as medical imaging, autonomous driving, and security systems. The technique works by converting the visual data into a format that can be processed by machine learning models, often involving steps like feature extraction and image preprocessing.

Feature extraction is the process of identifying and extracting important features from the image, such as edges, textures, and shapes. For example, in facial recognition, features like the distance between the eyes and the shape of the nose can be extracted to identify individuals.

Image preprocessing involves techniques to enhance or manipulate the image, such as resizing, normalization, and noise reduction.

Images are important because they provide a rich source of information that can be analyzed to extract meaningful insights. They are a powerful approach in machine learning, enabling models to process and analyze visual data effectively.

Alias
Visual Data
Related terms
Image Processing Computer Vision Feature Extraction