A natural image in machine learning refers to a digital image captured with a camera or generated by a computer that contains visual information as seen in the real world[3]. These images are crucial for training models in various tasks such as image analysis, object detection, and medical diagnostics[2]. Characterized by a rich local covariance structure, natural images exhibit complex and diverse covariance patterns often seen in photographs, paintings, and video game screenshots[1]. They are essential for teaching machines to recognize patterns and make predictions based on visual information. Additionally, natural images contain high-dimensional data encountered in everyday visual scenes, providing variability within and between categories to train models more accurately[4].
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