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Simply said

• Basic cascades, like the ones in OpenCV will not be enough for robust car detection.
• However there are more advanced cascade based techniques, like ACF / ICF that will do just fine.

Advantage of using DNN, which can be either YOLO or SSD, is that both techniques contain several off-the-shelf models that contain the car class, and thus we can use the models without retraining anything.