To build and test your object detection algorithm follow the below steps:

1. Image Annotation
   • Microsoft's Visual Object Tagging Tool (VoTT)
   • Annotate images
2. Training
   • Download pre-trained weights Yolo
   • Train model to detect license plates
3. Inference
   • Run Inference

1. Unzip src and source_images in respective folders(Training and Data folders)
2. Run Detector in inference folder
3. Results are stored in Data Folder

1. Download the Microsoft's Visual Object Tagging Tool (VoTT)
2. Annotate images
3. Convert to yolo format
4. Run Train_yolo.py file