Human Generated Data

Title

Government, City: France. Paris. Municipal Fire Protection: Municipal Fire-Protection, Paris, France: Physical Training for Firemen: La Gymnastique
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1511.5

Human Generated Data

Title

Government, City: France. Paris. Municipal Fire Protection: Municipal Fire-Protection, Paris, France: Physical Training for Firemen: La Gymnastique

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1511.5

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 99.8
Human 99.8
Person 99.6
Person 99.6
Person 99.5
Person 99.5
Person 99.4
Person 99.2
Person 99.1
Person 99.1
Person 99.1
Person 98.9
Person 98.9
Person 97.9
Person 97.3
Person 95
Person 93.9
Person 93.1
Person 90.8
Person 87.7
Person 84
Kindergarten 84
School 79.2
Indoors 79.2
Classroom 79.2
Room 79.2
People 75.5
Person 74.8
Person 73.9
Person 70.4
Plot 60.2
Diagram 60.2
Plan 60.2
Person 51.7
Person 48
Person 42.7
Person 42.7

Clarifai
created on 2019-06-07

people 100
many 98.5
group together 98.4
group 97.6
adult 96.1
administration 96
child 95
war 94.7
man 93.5
military 91.2
several 90.1
elementary school 86
leader 85.8
wear 81.7
education 80.4
soldier 78.5
school 77
woman 74.6
crowd 74.6
uniform 74.6

Imagga
created on 2019-06-07

man 21.5
people 21.2
person 19
walking 18
male 16.3
sport 14.9
walk 14.3
clothing 14.2
adult 13.7
active 13.6
couple 13.1
black 12.7
city 12.5
dress 11.7
weapon 11.4
game equipment 11.3
street 11
outdoor 10.7
outdoors 10.4
portrait 10.3
equipment 10.1
ball 10.1
fashion 9.8
lady 9.7
group 9.7
snow 9.6
boy 9.6
wall 9.5
women 9.5
play 9.5
child 9.5
men 9.4
skirt 9.3
volleyball net 9.2
volleyball 9.2
athlete 9.2
body 8.8
uniform 8.8
urban 8.7
shovel 8.7
stick 8.7
sports equipment 8.5
friends 8.4
human 8.2
world 8.2
girls 8.2
recreation 8.1
net 8
lifestyle 7.9
model 7.8
cold 7.7
youth 7.7
winter 7.7
hockey stick 7.6
hot 7.5
fun 7.5
silhouette 7.4
park 7.4
water 7.3
instrument 7.3
exercise 7.3
fitness 7.2
device 7.2
suit 7.2
leg 7.1

Google
created on 2019-06-07

State school 65.8
Team 59.4
History 57.6
Child 52

Microsoft
created on 2019-06-07

person 99.4
clothing 97.6
group 96.3
posing 92.9
outdoor 90.7
man 88.3
people 78.3
team 60.2
dressed 31
clothes 26.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Male, 54.8%
Calm 48.9%
Angry 46.1%
Sad 46.3%
Confused 45.5%
Surprised 45.2%
Happy 45.1%
Disgusted 47.9%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Angry 46.7%
Sad 47.6%
Calm 46.3%
Happy 46.1%
Surprised 46%
Disgusted 46.4%
Confused 45.8%

AWS Rekognition

Age 38-59
Gender Female, 50%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50.5%
Sad 49.8%
Happy 49.5%
Angry 49.7%
Calm 49.6%
Surprised 49.6%
Disgusted 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.8%
Angry 49.9%
Sad 49.7%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.2%
Angry 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.8%
Confused 49.5%
Angry 49.6%
Sad 50%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Surprised 45.3%
Angry 46.3%
Confused 45.2%
Calm 51.4%
Disgusted 45.2%
Happy 45.3%
Sad 46.3%

AWS Rekognition

Age 48-68
Gender Female, 50%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Sad 49.9%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Angry 49.8%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Confused 49.6%
Angry 49.7%
Calm 49.9%
Sad 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.8%
Angry 49.6%
Happy 49.7%
Confused 49.6%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.5%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Happy 50.3%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Sad 49.9%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.9%
Happy 49.5%

AWS Rekognition

Age 38-59
Gender Male, 55%
Angry 47.3%
Happy 45.2%
Sad 45.6%
Surprised 45.5%
Calm 49.2%
Confused 46.2%
Disgusted 46%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Surprised 49.6%
Happy 49.7%
Confused 49.6%
Angry 49.6%
Sad 49.7%
Calm 49.7%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 50.2%
Sad 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Angry 49.6%
Happy 49.7%
Sad 49.8%
Calm 49.7%
Confused 49.5%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.5%
Sad 49.9%
Confused 49.5%
Surprised 49.5%
Angry 50%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Surprised 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Sad 49.8%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Angry 49.6%
Happy 49.7%
Sad 49.6%
Disgusted 49.5%
Confused 49.6%
Calm 49.9%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.8%
Sad 49.6%
Surprised 49.6%
Angry 49.7%
Happy 49.6%
Disgusted 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.5%
Sad 50.3%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.8%
Angry 49.7%
Sad 49.6%
Confused 49.6%
Surprised 49.6%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 50.2%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.6%
Sad 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.8%
Calm 49.9%
Confused 49.6%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 50.2%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50%
Calm 50.2%
Sad 49.8%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Angry 50%
Happy 49.6%
Sad 49.6%
Calm 49.7%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-66
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Sad 49.7%
Calm 50.1%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.7%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.2%
Disgusted 49.5%
Sad 50.3%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Happy 49.8%
Sad 50.1%
Surprised 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 50.1%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Happy 49.5%
Sad 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.8%
Confused 49.5%

Feature analysis

Amazon

Person 99.8%

Categories

Imagga

beaches seaside 49.7%
cars vehicles 44.1%
nature landscape 3.9%

Text analysis

Amazon

des
Exercices
Gymnastique
d'Entrainement
Ville
de
la
SAPEURS-POMPIERS
Paris.
2124 Exercices d'Entrainement des SAPEURS-POMPIERS de la Ville de Paris. - La Gymnastique
2124
ND
ND Phol
m
Phol
- La

Google

ND Phot Exercices d'Entrainement des SAPEURS-POMPIERS de la Ville de Paris. - La Gymnastique 2124
ND
Phot
d'Entrainement
Exercices
des
SAPEURS-POMPIERS
de
la
Ville
Paris.
-
La
Gymnastique
2124