Human Generated Data

Title

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

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, 3.2002.1511.2

Human Generated Data

Title

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

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, 3.2002.1511.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 99.7
Human 99.7
Person 99.6
Person 99.6
Person 99.3
Person 98.9
Person 98.4
Building 98.1
Person 96.7
Person 94.8
Person 93.5
Factory 93.4
Person 89.4
Person 88.4
Person 88.1
Person 86.4
Wildlife 86.4
Animal 86.4
Mammal 86.4
Elephant 86.4
Person 82.8
Assembly Line 82
Person 81
Person 80.8
Person 78.9
Person 78.6
Person 75.5
Person 68
Prison 62.1
Sailor Suit 57.8
Crowd 56
Person 51
Person 42.3

Clarifai
created on 2019-06-07

people 99.9
many 99.4
group together 99.2
group 98.8
adult 96.2
man 95.9
crowd 93.8
military 93.7
administration 90.5
war 89
leader 84.6
soldier 83.4
uniform 81.8
several 81.4
wear 81.2
woman 79.4
skirmish 78
cavalry 75.3
vehicle 74.5
street 71.6

Imagga
created on 2019-06-07

game equipment 56.1
volleyball 53.3
ball 46.1
equipment 33.9
volleyball net 32.6
net 27.8
sport 24.4
man 21.5
people 20.6
beach 18.5
male 17
sunset 15.3
clothing 15.2
silhouette 14.9
vacation 13.9
adult 13.6
walking 13.3
outdoor 13
person 13
travel 12.7
sand 12.2
water 12
outdoors 11.9
active 11.8
ocean 11.6
lifestyle 11.6
landscape 11.1
winter 11.1
sea 10.9
snow 10.9
sun 10.5
fitness 9.9
life 9.9
posing 9.8
portrait 9.7
summer 9.6
couple 9.6
sky 9.6
color 9.4
motion 9.4
athlete 9.1
tourist 9.1
walk 8.6
sunrise 8.4
basketball 8.4
leisure 8.3
street 8.3
sports equipment 8.2
exercise 8.2
covering 8.1
recreation 8.1
dance 7.9
women 7.9
cold 7.7
men 7.7
attractive 7.7
old 7.7
consumer goods 7.5
fun 7.5
city 7.5
shore 7.4
action 7.4
black 7.2
body 7.2
happiness 7

Google
created on 2019-06-07

Art 58.1
Illustration 57.7

Microsoft
created on 2019-06-07

person 92
group 89.9
posing 89.6
clothing 78.5
man 70.2
old 69
team 63.6
equipment 32.6
clothes 23.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Disgusted 49.9%
Angry 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Calm 49.7%
Disgusted 49.7%
Sad 49.7%
Surprised 49.6%
Angry 49.8%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.3%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 50%
Angry 49.7%
Sad 49.6%
Happy 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Surprised 49.5%
Calm 49.7%
Confused 49.5%
Disgusted 50%
Angry 49.6%
Sad 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Surprised 49.5%
Angry 50.2%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 49.6%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Disgusted 50%
Confused 49.5%
Surprised 49.5%
Calm 49.8%
Happy 49.5%
Angry 49.6%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 45-66
Gender Male, 50.4%
Disgusted 49.8%
Sad 49.7%
Happy 49.5%
Surprised 49.6%
Angry 49.7%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.8%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Calm 49.7%
Angry 49.6%
Sad 49.7%
Confused 49.6%
Surprised 49.6%
Happy 49.6%
Disgusted 49.9%

AWS Rekognition

Age 35-55
Gender Male, 50.5%
Confused 49.6%
Happy 49.5%
Sad 49.6%
Surprised 49.5%
Calm 49.8%
Disgusted 49.9%
Angry 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Confused 49.5%
Sad 49.5%
Disgusted 49.7%
Calm 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 38-59
Gender Male, 54.8%
Sad 53.5%
Angry 45.2%
Calm 45.8%
Happy 45.3%
Disgusted 45%
Confused 45.1%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Calm 50.4%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Happy 49.5%
Angry 49.9%
Calm 49.5%
Confused 49.5%
Sad 50%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.8%
Calm 49.6%
Confused 49.5%
Disgusted 50%
Happy 49.5%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Surprised 49.5%
Sad 50.2%
Happy 49.6%
Calm 49.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.5%
Calm 50.3%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Surprised 49.5%
Angry 49.5%
Sad 50.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.9%
Disgusted 49.6%
Sad 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.5%
Confused 49.7%

AWS Rekognition

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

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Calm 50.1%
Happy 49.5%
Confused 49.6%
Sad 49.7%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 50%
Angry 49.7%
Surprised 49.6%
Sad 49.6%
Happy 49.5%
Confused 49.6%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.7%
Elephant 86.4%

Categories

Text analysis

Amazon

Exercices
Paralleles
des
ND
Barres
SAPEURS-POMPIERS
Ville
la
de
ND Phot
les
2142 Exercices d'Entrainement des SAPEURS-POMPIERS de la Ville de Paris.
Phot
les Barres Paralleles Gymnastique :
Paris.
2142
d'Entrainement
10
Gymnastique :
m 10
m

Google

ND Phot Exercices d'Entrainement des SAPEURS-POMPIERS de la Ville de Paris. Gymnastique 2142 les Barres Parallèles
ND
Phot
Exercices
d'Entrainement
des
SAPEURS-POMPIERS
de
la
Ville
Paris.
Gymnastique
2142
les
Barres
Parallèles