You are to create a Machine Learning model to detect the objects withing an image as well as to create a box around the detected objects. The class of objects to recognize are:

class $1$: cars, class $2$: bicycles, class $3$: motorcycles, class $4$: houses$/$buildings

In order to train our model, we use $1000$ images. Each of these images had been painstakingly labeled. Each label has

$5$

numbers. Some of the images are shown below along with the label used for that image. Fill the missing section of the label. Use $"$x$"$ for when the value of the corresponding component does not matter for the loss function of the neural network.