Human Generated Data

Title

Young Man in a Hurry (Second of twelve): One of the finest things for a political campaigner to have is a large family -- and John Lindsay is a fortunate man. The Lindsays make a fine family portrait. (L-R): Margie, 12; Mrs. Lindsay; John Lindsay holding his youngest child, John Jr., 5; Kathy, 13; and in front is Anne, 9.
Date

1965
People

Artist: Gordon W. Gahan, American 1945 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.26

Human Generated Data

Title

Young Man in a Hurry (Second of twelve): One of the finest things for a political campaigner to have is a large family -- and John Lindsay is a fortunate man. The Lindsays make a fine family portrait. (L-R): Margie, 12; Mrs. Lindsay; John Lindsay holding his youngest child, John Jr., 5; Kathy, 13; and in front is Anne, 9.

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

1965

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.26

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Accessory 99.9
Accessories 99.9
Tie 99.9
Clothing 99.7
Apparel 99.7
Person 99.4
Human 99.4
Person 99.4
Person 98.7
Person 97.5
Coat 97.1
Overcoat 97.1
Person 93.2
Person 93.2
Tuxedo 89.1
Suit 88.2
People 87
Sleeve 86.8
Person 84.5
Female 83.9
Suit 81.9
Dress 75.4
Long Sleeve 70.3
Gown 66.4
Fashion 66.4
Robe 66.4
Evening Dress 66.4
Girl 66.1
Woman 65.3
Blazer 61.5
Jacket 61.5
Family 59.9
Glasses 55.9
Pants 55.7

Clarifai
created on 2019-03-22

people 99.9
group 99.7
group together 98.7
portrait 98.5
actress 96.8
adult 95.7
child 95.4
four 95.3
five 95.2
woman 95
facial expression 94.6
wear 93.9
several 93.9
administration 93.8
offspring 93.7
man 92.7
music 92.7
leader 91.7
son 90.4
sibling 89.6

Imagga
created on 2019-03-22

kin 35.3
man 34.9
couple 34.8
people 31.8
adult 30.8
male 29.8
person 25.9
happy 25.7
portrait 23.9
standing 23.5
suit 23.3
men 22.3
smiling 21.7
fashion 21.1
group 20.9
dress 20.8
love 20.5
happiness 19.6
together 17.5
business 17
businessman 16.8
women 16.6
groom 16.6
style 16.3
handsome 16
attractive 15.4
black 13.8
20s 13.7
lifestyle 13.7
two 13.5
family 13.3
clothing 13
staff 13
smile 12.8
face 12.8
indoors 12.3
cheerful 12.2
pretty 11.9
mother 11.7
30s 11.5
married 11.5
outfit 11.4
elegant 11.1
dark 10.9
team 10.7
romantic 10.7
lady 10.5
sexy 10.4
tie 10.4
casual 10.2
model 10.1
businesswoman 10
romance 9.8
night 9.8
new 9.7
office 9.6
looking 9.6
bride 9.6
husband 9.5
party 9.5
relationship 9.4
elegance 9.2
inside 9.2
wedding 9.2
fun 9
posing 8.9
interior 8.8
businessmen 8.8
colleagues 8.7
brunette 8.7
mid adult 8.7
girlfriend 8.7
corporate 8.6
wife 8.5
expression 8.5
studio 8.4
teamwork 8.3
indoor 8.2
confident 8.2
celebrate 8.1
spectator 8.1
hair 7.9
executive 7.9
nightlife 7.8
room 7.7
boyfriend 7.7
formal 7.6
professional 7.6
togetherness 7.5
passion 7.5
human 7.5
life 7.4
sensuality 7.3
pose 7.2
success 7.2
stylish 7.2
garment 7.2
home 7.2
cool 7.1
jacket 7.1
modern 7

Google
created on 2019-03-22

Photograph 94.8
People 94.5
Snapshot 82.9
Vintage clothing 78.4
Event 75.9
Retro style 72.6
Family 68.3
Classic 63.8
Tartan 62
Black-and-white 56.4

Microsoft
created on 2019-03-22

person 100
posing 99.4
group 97.7
standing 93.7
people 87
old 72.8
wedding 8.8
fashion 5.2

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 10-15
Gender Female, 99.9%
Happy 97.6%
Surprised 0.7%
Confused 0.4%
Disgusted 0.3%
Calm 0.1%
Angry 0.7%
Sad 0.2%

AWS Rekognition

Age 10-15
Gender Male, 51.8%
Happy 98.3%
Calm 0.1%
Confused 0.2%
Disgusted 0.3%
Sad 0.2%
Surprised 0.7%
Angry 0.2%

AWS Rekognition

Age 16-27
Gender Male, 80%
Sad 0.2%
Angry 0.3%
Calm 98.1%
Surprised 0.4%
Confused 0.5%
Happy 0.3%
Disgusted 0.3%

AWS Rekognition

Age 35-55
Gender Male, 95.3%
Sad 1.5%
Confused 0.9%
Calm 0.9%
Disgusted 3.3%
Happy 91.1%
Surprised 1.3%
Angry 1.1%

AWS Rekognition

Age 6-13
Gender Male, 86.4%
Sad 4.1%
Surprised 6.7%
Disgusted 2.3%
Angry 4.9%
Calm 2.9%
Happy 75.6%
Confused 3.4%

AWS Rekognition

Age 35-52
Gender Male, 88.4%
Surprised 9.5%
Angry 8.7%
Confused 6.8%
Calm 48.8%
Sad 8.1%
Happy 5.2%
Disgusted 12.8%

AWS Rekognition

Age 57-77
Gender Male, 83.2%
Surprised 9.1%
Disgusted 10%
Angry 8.1%
Sad 8.4%
Happy 4.2%
Confused 8.7%
Calm 51.5%

Microsoft Cognitive Services

Age 39
Gender Male

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 20
Gender Female

Microsoft Cognitive Services

Age 40
Gender Female

Microsoft Cognitive Services

Age 40
Gender Male

Microsoft Cognitive Services

Age 42
Gender Female

Microsoft Cognitive Services

Age 40
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Possible
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Tie 99.9%
Person 99.4%
Suit 88.2%
Glasses 55.9%

Categories

Imagga

people portraits 99.1%