Human Generated Data

Title

Untitled (group portrait of teacher and young students sitting on bleachers)

Date

1960

People

Artist: Claseman Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11046

Human Generated Data

Title

Untitled (group portrait of teacher and young students sitting on bleachers)

People

Artist: Claseman Studio, American 20th century

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11046

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99.7
Person 99.7
Person 99.4
Clothing 99.3
Apparel 99.3
Shorts 99.3
Person 99.2
Person 98.8
Person 98.2
Person 98.1
Person 98
Person 95.3
Stage 95.1
Furniture 94.3
Chair 94.3
Person 94
Person 88
Person 86.8
Person 83.1
Floor 79.2
Indoors 78
Person 75.6
Person 72.4
Leisure Activities 71.9
People 71.3
Room 71.1
Person 69.7
Child 65.9
Kid 65.9
Dance Pose 59.6
Footwear 59.3
Shoe 59.3
Overcoat 55.6
Suit 55.6
Coat 55.6
Person 52.5
Person 50.1
Person 49.2

Clarifai
created on 2019-03-25

people 99.7
many 98.8
group together 98.1
adult 97.6
child 96
group 95.7
woman 95.4
school 94.7
education 94.1
wear 91.1
athlete 89.6
portrait 89
music 87.8
man 87.1
boy 83.6
retro 83.5
several 80.1
uniform 79.5
teacher 78.8
outfit 78.2

Imagga
created on 2019-03-25

sport 35.1
people 29.5
man 29.2
male 24.8
ball 23.7
athlete 22.9
blackboard 22.5
person 22.4
adult 20.8
gymnasium 19
tennis 18.5
lifestyle 18
brass 17.4
player 17.4
competition 17.4
runner 16.7
court 16.5
active 16.3
men 16.3
group 16.1
classroom 15.9
athletic facility 15.4
fitness 15.3
wind instrument 14.9
business 14.6
recreation 14.3
equipment 14.2
businessman 14.1
exercise 13.6
fun 13.5
racket 13.4
leisure 13.3
silhouette 13.2
facility 13
contestant 12.8
school 12.6
trombone 12.4
musical instrument 12.2
outdoors 11.9
women 11.8
game 11.6
boy 11.3
room 11.2
youth 11.1
happy 10.6
professional 10.4
education 10.4
portrait 10.3
friends 10.3
child 10.1
team 9.8
health 9.7
looking 9.6
couple 9.6
student 9.5
backboard 9.3
playing 9.1
girls 9.1
holding 9.1
success 8.8
healthy 8.8
together 8.7
game equipment 8.7
standing 8.7
smiling 8.7
golfer 8.7
day 8.6
play 8.6
friendship 8.4
black 8.4
teacher 8.2
activity 8
interior 7.9
run 7.7
summer 7.7
crowd 7.7
outdoor 7.6
casual 7.6
human 7.5
one 7.5
fit 7.4
copy space 7.2
body 7.2
home 7.2
job 7.1

Google
created on 2019-03-25

Photograph 95.7
Team 91.1
Social group 90.7
Room 65.7
Photography 62.4
Black-and-white 56.4
Crew 52.6
Class 51.8

Microsoft
created on 2019-03-25

person 97.9
posing 96.7
outdoor 92
player 84
black 69.9
white 61.6
ballet 27.2
team 27.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Male, 52.6%
Happy 45.2%
Sad 49.8%
Surprised 45.3%
Disgusted 45.2%
Angry 45.3%
Calm 48.9%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 52.2%
Happy 45.6%
Calm 48.5%
Confused 45.3%
Sad 49.6%
Disgusted 45.1%
Surprised 45.6%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Male, 54.7%
Surprised 45.2%
Angry 45.3%
Disgusted 45.1%
Calm 51%
Sad 46.9%
Confused 45.3%
Happy 46.3%

AWS Rekognition

Age 35-52
Gender Male, 53.1%
Angry 45.1%
Disgusted 45%
Confused 45%
Surprised 45.1%
Sad 45.9%
Happy 45.1%
Calm 53.9%

AWS Rekognition

Age 20-38
Gender Male, 54.2%
Happy 45.2%
Calm 47.9%
Confused 45.2%
Sad 51.3%
Disgusted 45.1%
Surprised 45.1%
Angry 45.2%

AWS Rekognition

Age 35-53
Gender Female, 50%
Happy 46.7%
Sad 45.7%
Angry 45.8%
Disgusted 46.3%
Surprised 45.6%
Calm 49.7%
Confused 45.3%

AWS Rekognition

Age 48-68
Gender Female, 51.7%
Happy 46%
Sad 46.7%
Confused 45.4%
Angry 45.5%
Disgusted 45.2%
Calm 50.7%
Surprised 45.6%

AWS Rekognition

Age 29-45
Gender Female, 52.9%
Happy 45.1%
Calm 50.6%
Angry 45.3%
Disgusted 45.2%
Confused 45.5%
Surprised 45.4%
Sad 47.9%

AWS Rekognition

Age 19-36
Gender Female, 53.6%
Confused 45.9%
Calm 49.2%
Happy 45.3%
Disgusted 45.7%
Surprised 46.2%
Sad 47.1%
Angry 45.7%

AWS Rekognition

Age 38-57
Gender Female, 54.2%
Disgusted 45.6%
Calm 48.9%
Sad 45.7%
Confused 45.5%
Happy 48%
Surprised 45.6%
Angry 45.7%

AWS Rekognition

Age 35-52
Gender Male, 51.2%
Angry 45.2%
Disgusted 45%
Sad 52.6%
Surprised 45.1%
Happy 46.4%
Calm 45.5%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Angry 45.3%
Disgusted 45.4%
Confused 45.2%
Surprised 45.3%
Sad 47.1%
Happy 45.2%
Calm 51.4%

AWS Rekognition

Age 26-43
Gender Male, 51.8%
Sad 49.9%
Disgusted 45.3%
Happy 45.6%
Calm 48%
Angry 45.3%
Confused 45.4%
Surprised 45.4%

AWS Rekognition

Age 14-23
Gender Male, 54.9%
Sad 45.3%
Happy 45.2%
Confused 45%
Surprised 45.1%
Disgusted 45.1%
Calm 54.3%
Angry 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Sad 45.6%
Surprised 45.1%
Disgusted 45%
Happy 45.5%
Angry 45.1%
Confused 45.1%
Calm 53.7%

AWS Rekognition

Age 23-38
Gender Male, 53.2%
Surprised 45.4%
Sad 49.1%
Disgusted 45.4%
Happy 45.6%
Confused 46.4%
Calm 47.6%
Angry 45.5%

AWS Rekognition

Age 15-25
Gender Female, 52%
Sad 48.3%
Angry 45.4%
Calm 50.3%
Surprised 45.4%
Happy 45.1%
Confused 45.6%
Disgusted 45.1%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Happy 46.3%
Calm 50.8%
Sad 47%
Angry 45.3%
Surprised 45.3%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 14-23
Gender Male, 55%
Happy 45.1%
Sad 47.1%
Calm 50.2%
Angry 45.4%
Confused 46.3%
Disgusted 45.1%
Surprised 45.8%

AWS Rekognition

Age 45-66
Gender Male, 51.9%
Surprised 45%
Calm 54.7%
Disgusted 45%
Happy 45%
Angry 45%
Sad 45.1%
Confused 45.1%

AWS Rekognition

Age 35-53
Gender Male, 53.7%
Confused 45.1%
Happy 45.2%
Angry 45.3%
Disgusted 45.1%
Sad 48%
Calm 51.1%
Surprised 45.2%

AWS Rekognition

Age 17-27
Gender Male, 54.9%
Surprised 45.3%
Angry 45.2%
Sad 53.1%
Calm 45.5%
Happy 45.1%
Confused 45.8%
Disgusted 45.1%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 45.9%
Confused 45.2%
Disgusted 45.3%
Calm 48.4%
Happy 49.3%
Angry 45.3%
Surprised 45.4%

Feature analysis

Amazon

Person 99.7%
Shoe 59.3%

Text analysis

Amazon

M1--YT32--A0
XAGOX
1809.010.010
RA