MACHINE LEARNING

Detailed explanation-1: -True color recognition means that children are able to match, identify and name colors. Learning colors is an abstract concept that takes time. Learning colors follows a developmental progression that includes a variety of foundational skills that children need to master before they are able to truly understand color.

Detailed explanation-2: -A color detection algorithm identifies pixels in an image that match a specified color or color range. The color of detected pixels can then be changed to distinguish them from the rest of the image.

Detailed explanation-3: -KMeans algorithm creates clusters based on the supplied count of clusters. In our case, it will form clusters of colors and these clusters will be our top colors. We then fit and predict on the same image to extract the prediction into the variable labels . We use Counter to get count of all labels.