Table 1 Characteristics of patient and volunteer faces in the databases.

From: A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery

Characteristics

Dataset

Patient

LSFM dataset

(all ages)

LSFM subset

(14–28 yr)

Number of subjects

151

9,663

3,943

Number of images

273

9,663

3,943

Age: mean (s.d.), years

18.4 (2.4), n = 151

24.5 (14.7), n = 9,460

22.2 (3.7), n = 3,943

Age: range, years

14–28, n = 151

0–85, n = 9,460

14–28, n = 3,943

Gender

(% male/female)

44%/56%, n = 151

47.7%/52.2%, n = 9,582

55.5%/44.5%, n = 3,942

Ethnicity

72% White, 10% Asian, 10% Mixed Heritage/Other, 8% Black, n = 151

82% White, 9% Asian, 5% Mixed Heritage, 3% Black, 1% Other, n = 9,554

83% White, 8% Asian, 4% Mixed Heritage, 3% Black, 2% Other, n = 3,928

  1. n is the number of individuals for whom that measurement was available. s.d. indicates the standard deviation.
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