Human Generated Data

Title

Untitled (men sitting on couches, drinking)
Date

c. 1950
People

Artist: Lainson Studios,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.21865.1

Human Generated Data

Title

Untitled (men sitting on couches, drinking)

People

Artist: Lainson Studios,

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, 4.2002.21865.1

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Human 99.5
Person 99.5
Person 99
Person 99
Person 98.9
Person 98.4
Person 98
Person 97.9
Person 91.6
Person 88.7
Flooring 79.4
Art 75
Apparel 70.2
Clothing 70.2
People 65.3
Food 61.2
Meal 61.2
Figurine 59.1
Leisure Activities 58.2
Floor 57.4
Text 57.3

Clarifai
created on 2019-11-16

people 99.7
group together 98.8
group 98.7
many 96.7
child 96.2
music 93.4
man 92.9
adult 92.8
wear 92.3
recreation 91.7
woman 91.4
musician 88.9
dancing 86.8
chair 86.5
sit 84.3
boy 84
administration 82.2
furniture 81.7
retro 79.3
room 77.6

Imagga
created on 2019-11-16

man 27.5
musical instrument 26.3
silhouette 25.6
people 25.1
male 19.9
wind instrument 19.8
sunset 19.8
person 19.6
men 18.9
group 18.5
adult 14.6
life 14.1
couple 13.9
beach 13.5
brass 13.3
sax 13
device 12.7
sky 12.1
together 11.4
outdoor 10.7
women 10.3
love 10.3
room 10.2
teenager 10
happy 10
dark 10
protection 10
business 9.7
boy 9.6
accordion 9.4
leisure 9.1
black 9
fun 9
outdoors 9
percussion instrument 8.8
child 8.7
crowd 8.6
happiness 8.6
friendship 8.4
portrait 8.4
summer 8.4
old 8.4
ocean 8.3
keyboard instrument 8.2
team 8.1
activity 8.1
sun 8
light 8
sport 8
family 8
businessman 7.9
stage 7.9
destruction 7.8
sea 7.8
nuclear 7.8
bassoon 7.7
youth 7.7
dusk 7.6
hand 7.6
human 7.5
landscape 7.4
holding 7.4
active 7.4
music 7.4
teen 7.3
girls 7.3
marimba 7.3
classroom 7.2
lifestyle 7.2
romantic 7.1
day 7.1

Google
created on 2019-11-16

Photograph 96.7
Snapshot 86.2
Adaptation 67
Stock photography 66.6
Art 62.5
Photography 62.4
Picture frame 53.9

Microsoft
created on 2019-11-16

text 98.3
person 97
clothing 91.9
man 64.3
footwear 61.2
crowd 0.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 9-19
Gender Male, 76.4%
Sad 59.9%
Disgusted 0.2%
Fear 1.9%
Angry 0.8%
Happy 0.2%
Surprised 0.8%
Calm 33.7%
Confused 2.5%

AWS Rekognition

Age 22-34
Gender Female, 60.7%
Fear 1.9%
Angry 13.2%
Calm 61.6%
Happy 9%
Sad 2.9%
Disgusted 2.8%
Confused 1.3%
Surprised 7.3%

AWS Rekognition

Age 22-34
Gender Male, 69.6%
Sad 4.1%
Disgusted 0.1%
Surprised 0.2%
Happy 3.3%
Angry 0.3%
Fear 0.2%
Confused 0.2%
Calm 91.6%

AWS Rekognition

Age 23-35
Gender Male, 86.3%
Sad 0.1%
Calm 99.8%
Angry 0%
Fear 0%
Happy 0%
Surprised 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 22-34
Gender Male, 51.9%
Angry 1.2%
Fear 0.6%
Calm 80%
Sad 9%
Disgusted 0.4%
Happy 7.8%
Confused 0.5%
Surprised 0.5%

AWS Rekognition

Age 61-77
Gender Female, 50.1%
Disgusted 49.6%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.9%
Fear 49.5%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Male, 92%
Happy 16.7%
Confused 0.4%
Calm 72.8%
Angry 1.8%
Disgusted 0.7%
Surprised 3.9%
Fear 0.6%
Sad 3.2%

AWS Rekognition

Age 39-57
Gender Female, 86.6%
Fear 1.5%
Angry 1.3%
Sad 24%
Happy 2.8%
Calm 67.8%
Confused 0.7%
Surprised 1.1%
Disgusted 0.6%

AWS Rekognition

Age 4-14
Gender Male, 50.4%
Calm 49.6%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 46-64
Gender Female, 50.1%
Fear 49.8%
Sad 49.6%
Disgusted 49.5%
Surprised 49.6%
Calm 49.7%
Happy 49.6%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.2%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Fear 49.5%
Sad 49.9%
Confused 49.5%
Calm 50%
Disgusted 49.5%

AWS Rekognition

Age 44-62
Gender Male, 50.2%
Confused 49.6%
Surprised 49.7%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50%
Calm 49.6%

AWS Rekognition

Age 47-65
Gender Male, 50.4%
Fear 49.5%
Surprised 49.5%
Angry 49.6%
Calm 49.8%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.8%
Fear 49.5%
Calm 49.7%
Confused 49.5%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 24-38
Gender Female, 50.2%
Sad 49.6%
Calm 50%
Happy 49.7%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Fear 49.5%

AWS Rekognition

Age 41-59
Gender Male, 50.3%
Angry 49.5%
Calm 49.9%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.1%
Fear 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.3%
Fear 49.5%
Sad 49.6%
Surprised 49.5%
Angry 50%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.8%

AWS Rekognition

Age 20-32
Gender Male, 50%
Calm 50.1%
Sad 49.7%
Fear 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 40-58
Gender Male, 50%
Fear 49.5%
Calm 50%
Happy 49.8%
Surprised 49.5%
Angry 49.6%
Sad 49.5%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 14-26
Gender Male, 50.2%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.8%
Fear 49.5%
Calm 49.7%
Angry 49.9%
Confused 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.1%
Fear 49.5%
Angry 49.6%
Calm 50.2%
Surprised 49.6%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.5%

Text analysis

Amazon

-YT33A'2
uns

Google

MJIRI--YTEA -NAC
MJIRI--YTEA
-NAC