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Using this tool, we can annotate bounding boxes for image annotation in YOLO format.
It uses YOLOv3-608 weights to pre-annotate the bounding boxes in images. It reduces time and efforts in annotating large datasets by upto 90%.
About the repository
'yolo_annotation_tool.py' : Main file to load images one-by-one from the dataset, and then annotate them.
'recognize_objects.py' : Object recognition class for pre-annotating images before manual annotation process.
'config.ini' : Edit data folder, output folder and label file path according to your preference. 'annotation_index' is automatically updated based on index of the last saved annotated image.
'labels.csv' : List of all the classes to be annotated.
'/models' : It contains YOLOv3-608 weights (to be downloaded), cfg and coco.names files.
'/data' : Sample of input images to be annotated
'/output' : Sample of output files after annotation.