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Hi, @Quo!
I've found this network to be very hit and miss, and won't capture the most basic objects from a car dash cam (other cars, trucks etc.).
It's a normal case for an every trainable algorithm. It depends on data in the training dataset. In example, if it was trained to detect cars from front face it's hard to predict a performance on images with side faced cars.
I have altered the code to include the VGG16 network, but I can't seem to get it working...
Originally, VGG16 model is an image classification network but not for objects detection. Please clarify what kind of model is used.
