To build and test your object detection algorithm follow the below steps:
- Image Annotation
- Microsoft's Visual Object Tagging Tool (VoTT)
- Annotate images
- Training
- Download pre-trained weights Yolo
- Train model to detect license plates
- Inference
- Run Inference
- Unzip src and source_images in respective folders(Training and Data folders)
- Run Detector in inference folder
- Results are stored in Data Folder
- Download the Microsoft's Visual Object Tagging Tool (VoTT)
- Annotate images
- Convert to yolo format
- Run Train_yolo.py file