In fact this plate would be detected as NV12345. Note the missing “spaces”. This might not be an issue for US plates, but it is for EU.
I tried the model with an EU (German) video feed. I was surprised, that it perfectly detects EU number plates, but it has a big problem: The loss of the “spaces” causes ambiguities.
For instance: A Berlin number plate can look like so: “B NO 1234”. A Bonn number plate could look like so “BN O 1234”. Due to the loss of “spaces” both are indicated as “BNO1234” which is ambiguous.
Is there anything which can be done to tackle this?
This image is misleading:
In fact this plate would be detected as NV12345. Note the missing “spaces”. This might not be an issue for US plates, but it is for EU.
I tried the model with an EU (German) video feed. I was surprised, that it perfectly detects EU number plates, but it has a big problem: The loss of the “spaces” causes ambiguities.
For instance: A Berlin number plate can look like so: “B NO 1234”. A Bonn number plate could look like so “BN O 1234”. Due to the loss of “spaces” both are indicated as “BNO1234” which is ambiguous.
Is there anything which can be done to tackle this?