For object recognition and detection by image assigns labels linearly without taking into account the features. How could I solve this?

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I am trying to create an algorithm that, given a training set, trains a model and predicts labels. It should be able to handle both single objects and multiple objects per image.

I have tried doing vectors with each feature of each vector, but they are not always equal.

It ends ups assigning each object a label, but in the sequence it was declared

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