Please implement a program to recognize simple objects and basic shapes in an input image as shown in the figures below. Consider the following regulations:

$$ The input: A colored image.

$$ The output:

$$ The same input image with a label above each object to identify it from the list below

$$ House and its type $($Class $1$ or Class $2),$ Tree and its type $($Class $1$ or Class $2),$ Car and Truck

$$ Print the name, the color and the number of basic shapes in the image $($Circle$,$ triangle, rectangle or square$)$ on the command prompt as a list $($Don$$t display them on the image$).$

$$ Python programming language can be used, in conjunction with OpenCV.

please Detect Shapes: Define a function to classify shapes based on contour approximation, determining whether they are triangles, squares, rectangles, or circles. and give me an explanations$($number of sides, length for each side,number of shapes in every object$)$ for each objects$($Car$,$ Trcuck, Tree class $1,$ Tree Class $2,$ House class $1,$House class$2$

An example of an input image:

The output image with the corresponding text: