Getting "The images are not unique, please submit a unique image for each case."

This error happens here in evaltuils.Validator:

class UniqueImagesValidator(DataFrameValidator):
"""
Validates that each image in the set is unique
"""

def validate(self, *, df: DataFrame):
    try:
        hashes = df["hash"]
    except KeyError:
        raise ValidationError("Column `hash` not found in DataFrame.")

    if len(set(hashes)) != len(hashes):
        raise ValidationError(
            "The images are not unique, please submit a unique image for "
            "each case."
        )

You may have the same two predictions (a special case is that two predictions all have 0s with the same shape). I have updated our evaluation docker to remove this check function, allowing the two predictions to have the same results.   You can use the evaluation docker to test locally or submit to grand-challenge again.

Thanks for the information!