Object detection on images using pretrained models from tensorflow model zoo and draw results on output images.
Create Pascal VOC format annotations using python code and read created xmls using python packages as xml or convert to dictionary or json objects.
Use Yolov5 architecture to train model with pytorch backend for different dataset and convert dataset from one format to other for training of yolov5 object detection models.