Intel model 'Vehicle-license-plate-detection-barrier' is only working on few colour of number plates like yellow, blue,
and intel Model 'licence-plate-recognition-barrier-001' is only recognized Chinese number plates
This both Intel_models are not working on Indian plates , so please tell me any way or which steps I need to be done so it also work with Indian plates...
for the vehicle license plate detector, you can use this new tool we have released that enables you to retrain it: https://github.com/opencv/training_toolbox_tensorflow
For the second one, it is not yet possible to retrain it.
They mentioned steps for Linux but am using open-vino on Window plate-form ? Can this process also same with window plate-form?
And My second question is:-
1 Download training data and put it in the data/bitvehicle directory according to data/bitvehicle/README.md file. Annotation files in the COCO format (refer to cocodataset for details) are already located in data/bitvehicle.
From where to I could download training data??
unfortunately, the tool is only for Ubuntu for now. For the second question, I am not sure I understood well the question, but you can find the training data here: http://iitlab.bit.edu.cn/mcislab/vehicledb/ However, if you want to retrain for the Indian plates and vehicles, it would be better if you have your own Indian specific dataset.