Human Generated Data

Title

Education, Popular Culture: United States. New York. New York City: Public Schools, Adaptation to Special City Needs: New York City Public Schools: Examples of the Adaptation of Education to Special City Needs: Brooklyn Public School: Noon Games
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, 3.2002.1498.1

Human Generated Data

Title

Education, Popular Culture: United States. New York. New York City: Public Schools, Adaptation to Special City Needs: New York City Public Schools: Examples of the Adaptation of Education to Special City Needs: Brooklyn Public School: Noon Games

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, 3.2002.1498.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 99
Human 99
Person 99
Person 98.9
Person 98.8
Sports 92.2
Sport 92.2
Person 92
Pedestrian 91.8
Person 91.7
People 89.8
Person 83.2
Pet 83
Dog 83
Mammal 83
Animal 83
Canine 83
Ice Skating 73.4
Skating 73.4
Horse 71.4
Horse 69.5
Dog 66.2
Team 63.9
Team Sport 63.9
Flooring 57.2
Crowd 56.2
Rink 55.7
Person 45.7

Clarifai
created on 2019-06-04

people 99.8
many 99.8
group 99.3
group together 98.4
administration 96.5
military 96.2
police 96
adult 95.9
man 94.8
crowd 92.3
offense 91.2
cavalry 90.1
home 90
school 89.8
education 89.7
woman 89.6
leader 89.6
wear 87.9
outfit 87.6
several 84.7

Imagga
created on 2019-06-04

pen 74.1
enclosure 61.3
structure 27.4
horse 26
sunset 23.4
people 22.3
teacher 21.5
silhouette 20.7
beach 18.9
landscape 18.6
educator 17.6
animal 17.2
sky 16.6
walking 16.1
outdoors 15.7
travel 15.5
sun 15.3
sport 15.3
farm 15.2
man 14.8
ranch 14.5
bull 14.5
summer 14.1
group 13.7
cowboy 13.5
rural 13.2
outdoor 13
adult 12.9
stallion 12.7
ocean 12.4
male 12.1
animals 12
speed 11.9
horses 11.7
tree 11.5
vacation 11.5
black 11.4
water 11.3
wild 11.3
professional 11.3
cow 11.3
evening 11.2
lifestyle 10.8
snow 10.4
sunrise 10.3
winter 10.2
sand 10.2
sea 10.2
field 10
tourist 10
blood 9.7
dusk 9.5
tropical 9.4
mammal 9.3
cattle 9.3
equine 9.1
tourism 9.1
coast 9
bullfighting 8.9
herd 8.8
grass 8.7
pasture 8.6
men 8.6
walk 8.6
shore 8.4
person 8.4
bullring 7.9
country 7.9
riding 7.8
scene 7.8
sunny 7.7
leisure 7.5
park 7.4
color 7.2
recreation 7.2
wildlife 7.1

Google
created on 2019-06-04

Snapshot 82.5
Black-and-white 56.4
Visual arts 55
Crowd 50.7
Art 50.2

Microsoft
created on 2019-06-04

ground 95.8
floor 92.6
person 91.3
footwear 86.6
outdoor 86.4
clothing 82.4
walking 80.5
man 79.8
group 60.9
dance 54
several 12

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 11-18
Gender Female, 50.7%
Happy 45.3%
Disgusted 45.5%
Surprised 45.1%
Sad 52.9%
Confused 45.2%
Angry 45.4%
Calm 45.6%

AWS Rekognition

Age 20-38
Gender Male, 54.1%
Disgusted 45.1%
Surprised 45%
Confused 45.1%
Sad 54.4%
Angry 45.2%
Calm 45.1%
Happy 45%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.5%
Happy 49.6%
Disgusted 49.6%
Surprised 49.5%
Calm 50.2%
Confused 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Calm 50.2%
Happy 46.6%
Surprised 45.8%
Sad 45.6%
Angry 45.6%
Disgusted 45.7%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Calm 49.7%
Angry 49.5%
Disgusted 49.7%
Happy 49.7%
Sad 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 49.6%
Happy 49.6%
Calm 49.7%
Disgusted 49.8%
Angry 49.7%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.7%
Sad 49.8%
Disgusted 49.5%
Calm 49.9%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Sad 50%
Confused 49.5%
Angry 49.7%
Surprised 49.5%
Disgusted 49.6%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Calm 50.2%
Happy 49.6%
Sad 49.7%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Happy 49.5%
Angry 49.9%
Sad 49.7%
Disgusted 49.7%
Confused 49.5%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Calm 49.8%
Happy 49.6%
Sad 49.8%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 99%
Dog 83%
Horse 71.4%

Text analysis

Amazon

C1OO
# jI
MHpep

Google

Cioo 79
Cioo
79