Add one photo of each parent and one of the baby. It works for older children too. Front-facing, well-lit photos work best.
Result
Add all three photos to find out
The baby's face slides toward the parent it resembles more.
–Mom
?
–Dad
Feature by feature
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Your result card
Extra
The whole family
Add the grandparents on both sides, and brothers, sisters, aunts or uncles, and see how much Baby resembles each of them.
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Both sets of grandparents, plus up to 4 more people.
Each person's share of the resemblance as a percentage, and a total for each side of the family.
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Mom's parents
Dad's parents
Anyone else
How the match is worked out
Find the face
A detector scans each photo and boxes every face. If there are several, the largest one is used.
Map 68 points
A second model places 68 points on the face: 17 along the jaw, 10 on the eyebrows, 9 on the nose, 12 around the eyes and 20 around the mouth.
Overall score
A face-recognition model turns each face into a fingerprint of 128 numbers. The baby's fingerprint is compared with each parent's, and the closer one wins. The percentages show how much closer, not how identical: 62% means "nearer to this parent than the other".
Feature by feature
Each face is straightened and rescaled so the eyes are level and the same distance apart. Then the shape traced by the points of each feature on the baby is compared with the same feature on each parent. Eyebrows are measured relative to the eye below, so their height counts too.
What it cannot see
Colouring. The feature rows are pure geometry, so eye colour, hair and skin tone play no part in them.
Baby proportions. The recognition model learned mostly from adult faces. Babies have rounder faces and smaller noses and jaws, so they sit fairly far from both parents.
Pose and expression. A turned head or a big smile changes the shapes, which is why another photo can flip a close result.
Two measurements. The overall score and the feature rows are worked out separately, so they can disagree.