attribute-based classification

Attribute-based classification is a way of sorting or identifying objects by examining their specific features or characteristics, called attributes. For example, when recognizing a fruit, attributes like color, shape, and size are considered. The system compares these attributes to known patterns to determine the object's category. This approach is useful because it allows flexible and accurate identification based on measurable traits, rather than relying solely on overall appearance. It is widely used in fields like image recognition and data analysis, enabling computers to classify objects efficiently by analyzing relevant attributes.