Human Generated Data

Title

Untitled (four tailors)

Date

c. 1860-1880

People

Artist: Willoughby Wallace Hooper, British 1837 - 1912

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Kenyon C. Bolton III Fund, 2018.60

Human Generated Data

Title

Untitled (four tailors)

People

Artist: Willoughby Wallace Hooper, British 1837 - 1912

Date

c. 1860-1880

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Kenyon C. Bolton III Fund, 2018.60

Machine Generated Data

Tags

Amazon
created on 2019-04-10

Apparel 99.9
Clothing 99.9
Person 99.2
Human 99.2
Person 98.6
Person 98.3
Person 97.5
Headband 94.9
Turban 94.9
Painting 94.1
Art 94.1
Hat 72.1
Nature 66.5
Person 64.3
Hat 59.9
Sitting 59.8
People 55.1

Clarifai
created on 2018-10-18

people 100
group 99.7
adult 99.1
group together 98.2
several 98
many 95.5
two 95.1
four 95
wear 94.9
man 94.7
child 93.6
woman 93.5
three 92.2
military 91.9
leader 91.9
veil 90.1
administration 89.2
five 88.2
war 87.3
outfit 87.1

Imagga
created on 2018-10-18

man 24.9
sand 24.7
parasol 24.6
beach 23.8
person 21.9
adult 19.4
outdoors 19.4
people 19
umbrella 17.8
male 17.4
summer 17.4
love 17.4
sea 16.4
vacation 16.4
groom 15.4
dress 14.5
happiness 14.1
couple 13.9
happy 13.2
together 13.1
outdoor 13
bride 12.5
white 12.1
travel 12
women 11.9
hat 11.2
attractive 11.2
sitting 11.2
wedding 11
two 11
clothing 10.9
world 10.9
water 10.7
child 10.4
nurse 10.3
canopy 9.7
married 9.6
sky 9.6
kin 9.5
holiday 9.3
coast 9
one 9
activity 9
romantic 8.9
sun 8.9
uniform 8.8
scenic 8.8
lifestyle 8.7
casual 8.5
portrait 8.4
pretty 8.4
joy 8.3
sport 8.3
ocean 8.3
shelter 8.2
lady 8.1
work 7.8
outside 7.7
tropical 7.7
relax 7.6
leisure 7.5
desert 7.5
landscape 7.4
freedom 7.3
alone 7.3
playing 7.3
ruler 7.3
pose 7.2
road 7.2
romance 7.1
day 7.1

Google
created on 2018-10-18

Microsoft
created on 2018-10-18

person 97.8
ground 95.3
old 74.7
preparing 55.8
cooking 27.9
stone 5.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 60-90
Gender Male, 92.2%
Calm 4.8%
Angry 2.1%
Surprised 1.8%
Sad 86.1%
Happy 3.3%
Confused 1.5%
Disgusted 0.4%

AWS Rekognition

Age 26-43
Gender Male, 98.8%
Confused 5.6%
Angry 18.6%
Sad 35.9%
Happy 2.1%
Calm 25.2%
Disgusted 7.9%
Surprised 4.7%

AWS Rekognition

Age 26-44
Gender Male, 62.1%
Angry 7.4%
Disgusted 4.7%
Sad 11.7%
Calm 65.5%
Confused 4.1%
Surprised 4.6%
Happy 2%

AWS Rekognition

Age 35-52
Gender Female, 58.1%
Surprised 1.2%
Disgusted 1.7%
Happy 0.6%
Angry 3.9%
Calm 79.6%
Sad 12%
Confused 1%

Google Vision

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

Feature analysis

Amazon

Person 99.2%
Painting 94.1%
Hat 72.1%

Categories