Human Generated Data

Title

Joseph Hazard with Gen Scanlon, Home Health Aide, Cambridge

Date

1994

People

Artist: Nicholas Nixon, American born 1947

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of the artist, P2001.211

Copyright

© Nicholas Nixon

Human Generated Data

Title

Joseph Hazard with Gen Scanlon, Home Health Aide, Cambridge

People

Artist: Nicholas Nixon, American born 1947

Date

1994

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-01-09

Face 99.1
Human 99.1
Person 97.6
Person 97.4
Furniture 91.4
Person 91.2
Pillow 87.5
Cushion 87.5
Skin 82.9
Head 77.1
Man 76.6
Portrait 73.2
Photo 73.2
Photography 73.2
Finger 72.1
Sleeping 71.4
Asleep 71.4
Hug 71.1
Beard 68.4
Couch 67.4
Female 61.8
Indoors 60.9
People 60.1
Newborn 60
Baby 60
Chair 57.6
Accessories 56.8
Accessory 56.8
Bed 56.6
Glasses 50.2

Imagga
created on 2022-01-09

people 27.9
man 25
adult 22
love 21.3
parent 21
person 20
male 19.6
couple 18.3
women 17.4
dad 16.9
attractive 16.8
hair 16.6
face 16.3
portrait 16.2
child 16.1
sexy 16.1
model 14.8
mother 14.6
happy 14.4
father 14.2
groom 14.1
black 13.2
smiling 13
lifestyle 13
fashion 12.8
pretty 11.9
skin 11.5
smile 11.4
hand 11.4
bed 11.4
passion 11.3
human 11.2
relationship 11.2
relaxation 10.9
romance 10.7
family 10.7
one 10.5
men 10.3
happiness 10.2
cute 10
holding 9.9
lady 9.7
sex 9.7
girlfriend 9.6
body 9.6
wife 9.5
sitting 9.4
day 9.4
two 9.3
sensuality 9.1
handsome 8.9
posing 8.9
looking 8.8
look 8.8
hug 8.7
boy 8.7
hands 8.7
life 8.7
guy 8.7
close 8.6
females 8.5
togetherness 8.5
husband 8.5
blond 8.3
care 8.2
alone 8.2
sensual 8.2
cheerful 8.1
kid 8
kiss 7.8
sadness 7.8
sad 7.7
sexual 7.7
erotic 7.7
loving 7.6
lying 7.5
outdoors 7.5
emotion 7.4
girls 7.3
romantic 7.1
device 7.1
lovely 7.1
scholar 7
indoors 7
together 7

Google
created on 2022-01-09

Microsoft
created on 2022-01-09

person 99.8
man 99.4
text 94.2
human face 93.5
black and white 89.5
glasses 66.4
clothing 60.9

Face analysis

Amazon

Google

AWS Rekognition

Age 30-40
Gender Female, 65.6%
Happy 78.3%
Sad 6.4%
Disgusted 4.8%
Confused 3.4%
Fear 2.9%
Angry 1.6%
Surprised 1.5%
Calm 1.1%

AWS Rekognition

Age 36-44
Gender Male, 91.9%
Calm 88.5%
Happy 3.7%
Surprised 2.3%
Sad 1.5%
Fear 1.5%
Angry 1.5%
Disgusted 0.6%
Confused 0.5%

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 97.6%
Glasses 50.2%

Captions

Microsoft

a man sitting on a bed 66.3%
a man sitting down and looking at the camera 66.2%
a man sitting on a couch 66.1%