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Data sanity checks on 'datasetversion'.
Check image filename redundancy. Images that have exactly the same filename are tagged with the tag: dup_filename
Check exact or near duplicates: tags: dup_image (Used this repo: https://github.com/idealo/imagededup)
Tag all images with number of channels and number of bytes for one pixel: Tag format: nbrchannels_nbr_bytes:
Find annotations where the area is an "outlier". I used zscore for this. The threshold can become a parameter to enter as it would depend on the data/annotations.
PS: The logging.info() used in utils.py does not work. So the final results are not actually printed. Hence the draft.