Labeling images using rules based on properties

Let us see an example of Python code that demonstrates how to classify images using rules, based on image properties such as size and aspect ratio.

Here, we will define rules such as if the black color distribution is greater than 50% in leaves, then that is a diseased plant. Similarly, in case of detecting a bicycle with a person, if the aspect ratio of an image is greater than some threshold value, then that image has a bicycle with a person.

In computer vision and image classification, the aspect ratio refers to the ratio of the width to the height of an image or object. It is a measure of how elongated or stretched an object or image appears along its horizontal and vertical dimensions. Aspect ratio is often used as a feature or criterion in image analysis and classification. It’s worth noting that aspect ratio alone is often not sufficient for classification, and it is typically used in conjunction with other features...