cascadeCNN_license_plate_detection
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How can i train it for two line license plate?
Also what about license plate which are out of sample , i mean that they have different font type and size and color and dimension of license plate has little bit variation. and there is no specific pattern inside license plate.
My train dataset is china's license plate. Aspect ratio of license plate is about 1:3. Most china's license plate is blue. So this model is more suitable for china's license plate. Cascade CNN was originally used to face detection, aspect ratio of face is about 1:1. Maybe this method is not universal for license plate. It can not handle situations where the aspect ratio varies widely.