The scenario
A data scientist filters a raw image dataset to ensure only valid images with consistent labels are used for training. The process checks file integrity, label presence, and label consistency.
What is in this drawing
Read the decisions behind it.
01
Check if image file is valid
02
Check if label exists
03
Check if label is consistent
Reusable for any image dataset cleaning pipeline where label integrity and file validity must be verified before training.
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