Human Generated Data

Title

Untitled (children at table with globe)

Date

c. 1950

People

Artist: Lucian and Mary Brown, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.16727

Human Generated Data

Title

Untitled (children at table with globe)

People

Artist: Lucian and Mary Brown, American

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.16727

Machine Generated Data

Tags

Amazon
created on 2022-02-26

Person 98.8
Human 98.8
Person 96.7
Furniture 82.2
Person 80.4
Home Decor 66.5
Dish 62.4
Meal 62.4
Food 62.4
Indoors 60.4
Table 59.5

Clarifai
created on 2023-10-29

people 99.9
group 99.5
child 98.7
music 97.2
room 94.9
adult 94.7
two 93.7
several 93.2
woman 93.2
education 92.8
group together 92.7
furniture 92.3
man 91.6
many 91.5
home 89.9
teacher 89.4
indoors 87.8
three 87.7
one 86.6
son 86.5

Imagga
created on 2022-02-26

blackboard 25.6
people 18.4
male 17
man 16.8
classroom 16.8
person 16.1
education 15.6
business 15.2
vintage 14
old 13.9
teacher 13.6
room 13.6
grunge 13.6
finance 13.5
businessman 13.2
adult 13.1
computer 12.8
school 12.8
modern 12.6
retro 11.5
black 11.4
success 11.3
drawing 11.1
office 11
world 10.1
student 10
financial 9.8
sign 9.8
human 9.7
teaching 9.7
digital 9.7
portrait 9.7
art 9.5
money 9.3
aged 9
musical instrument 8.9
technology 8.9
chalkboard 8.8
class 8.7
antique 8.4
hand 8.3
dollar 8.3
back 8.3
percussion instrument 8.3
happy 8.1
currency 8.1
team 8.1
case 8
idea 8
circa 7.9
postmark 7.9
stamp 7.7
men 7.7
mail 7.6
negative 7.6
shop 7.5
one 7.5
style 7.4
symbol 7.4
letter 7.3
design 7.3
data 7.3
paint 7.2
board 7.2
color 7.2
dirty 7.2
women 7.1
film 7.1

Google
created on 2022-02-26

Microsoft
created on 2022-02-26

text 99.7
person 53.4
black and white 51.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-30
Gender Female, 88.1%
Calm 35.1%
Surprised 21.9%
Sad 15.2%
Happy 12.5%
Fear 4.9%
Angry 4.1%
Disgusted 3.6%
Confused 2.8%

AWS Rekognition

Age 9-17
Gender Female, 98.8%
Sad 79%
Calm 20.1%
Surprised 0.2%
Disgusted 0.2%
Happy 0.2%
Angry 0.2%
Fear 0.2%
Confused 0.1%

Feature analysis

Amazon

Person
Person 98.8%
Person 96.7%
Person 80.4%

Categories

Text analysis

Amazon

KODAK-AITW

Google

MJI7-- YT37A°2-- AGOX NEILE
MJI7--
YT37A°2--
AGOX
NEILE