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TCS_HUMAIN

Download the following from given links

All other information regarding the setup can be found out in Description FILE

Different files and their roles:

  1. Cropping_Plates_from_Detection_YOLOv3_for_OCR.ipynb: Crop output objects from YOLOv3 for OCR
  2. Dataset1(ANPR)_preparation_for_yolo.ipynb: preprocessing ANPR dataset as per YOLOv3 training requirements
  3. (Indian_cars)_preparation_for_YOLO.ipynb: preprocessing Indian Car dataset as per YOLOv3 training requirements
  4. Number_Plate_Detection_YOLOv3.ipynb: Google colab notebook for training & storing final output over test data
  5. OCR_for_NumberPlate.ipynb: OCR over all cropped images and storing it in a list
  6. Description.pdf: Entire problem statement and steps to follow for executing the project
  7. Train.txt,Valid.txt,obj.names,obj.data: Requirements for YOLOv3 as explained in description.pdf

For understanding YOLOv3 training set, click here

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  • Jupyter Notebook 100.0%