Not sure if this is an issue or feature request but noticed that the class labels of this model dont match the default model. Specifically, ExDark uses "person" vs "People" and "motorcycle" vs "Motorbike". There is also a capitalisation difference in the class names. This makes it slightly more complicated to configure client applications (e.g. Blue Iris) to filter in/out classes of objects.
I imagine that "normalising" data could be a challenge as more custom models appear but it could also be a real advantage of deepstack if possible.
Not sure if this is an issue or feature request but noticed that the class labels of this model dont match the default model. Specifically, ExDark uses "person" vs "People" and "motorcycle" vs "Motorbike". There is also a capitalisation difference in the class names. This makes it slightly more complicated to configure client applications (e.g. Blue Iris) to filter in/out classes of objects.
I imagine that "normalising" data could be a challenge as more custom models appear but it could also be a real advantage of deepstack if possible.