Hi
I have good experiences developing code in Python Programming language for scientific application and Machine learning projects more than 3 years . In recent 2 years i worked with different deep learning Frameworks specially Keras , TensorFlow and Pytorch.
As i understand that notebook is about data exploration and some pre-processing on imagenet dataset and does not include any training and inference in deep learning.
Do you want an output file for each image contains bounding boxes?
we have 200, 000 images in all three sets(training, test, validation) if you want to do that transformation on all these data it will take a long time. Do you have any consideration about execution time?
Thanks