Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Brooklyn, Vacation Playground, Public School No. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 45 Brooklyn. Vacation Playgrounds.

Date

1902

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, 3.2002.2515.2

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Brooklyn, Vacation Playground, Public School No. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 45 Brooklyn. Vacation Playgrounds.

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2515.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99.4
Person 99.4
Person 99.3
Person 99.2
Person 98.5
Person 98.4
Person 97.9
Person 97.3
Person 96.6
Person 96.4
Person 96.1
Person 95.9
Person 95.6
Person 94.1
Person 93.2
School 90.4
Person 89
Person 89
Person 86.6
Indoors 85.3
Room 85.3
Classroom 85.3
Person 83.4
Person 82.5
Person 82.5
Person 77
People 76.8
Person 75.3
Housing 63.8
Building 63.8
Person 63.6
Person 60.7
Clothing 57
Apparel 57
Crowd 55.2
Person 54.7

Clarifai
created on 2019-06-04

people 100
many 99.9
group 99.6
group together 99.5
adult 97.9
crowd 95.3
man 95
military 94.9
war 93.2
spectator 92.1
administration 91.9
child 91.6
several 90.8
vehicle 88.9
woman 86.4
wear 85.9
outfit 84.7
recreation 83.9
boy 82.7
uniform 79.8

Imagga
created on 2019-06-04

pen 61.4
enclosure 50.7
volleyball net 44.5
net 37
horse 29.8
game equipment 28.5
dairy 25.5
structure 25
sport 23
animal 19.4
ranch 18.5
equipment 18.1
horses 16.5
sky 14.7
group 13.7
pasture 13.4
people 13.4
farm 13.4
outdoors 12.7
grass 12.6
sand 12.2
travel 12
competition 11.9
stallion 11.7
trees 11.6
building 11.1
cowboy 10.8
beach 10.1
speed 10.1
tree 10
vacation 9.8
equine 9.8
country 9.6
urban 9.6
dirt 9.5
man 9.4
architecture 9.4
cow 9.3
male 9.2
field 9.2
old 9
transportation 9
history 8.9
line 8.9
brown 8.8
rural 8.8
water 8.7
sea 8.6
walking 8.5
summer 8.3
action 8.3
city 8.3
tourism 8.2
countryside 8.2
active 8.1
athlete 7.9
fence 7.8
black 7.8
riding 7.8
ride 7.8
men 7.7
run 7.7
running 7.7
outdoor 7.6
trainer 7.5
animals 7.4
prison 7.3
mammal 7

Google
created on 2019-06-04

Microsoft
created on 2019-06-04

person 95.4
outdoor 95.3
group 88
clothing 87.4
standing 81.4
old 80.6
people 76.2
man 71.1
mammal 63.3
horse 60.3
crowd 0.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-47
Gender Male, 54.8%
Sad 52.1%
Disgusted 45.1%
Surprised 45.1%
Angry 45.7%
Happy 46.3%
Calm 45.5%
Confused 45.2%

AWS Rekognition

Age 14-23
Gender Male, 51.4%
Confused 45.1%
Calm 45.5%
Angry 45.2%
Sad 52.3%
Happy 46.6%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Confused 45.3%
Angry 45.3%
Calm 50.7%
Disgusted 45.2%
Sad 47.8%
Happy 45.6%
Surprised 45.2%

AWS Rekognition

Age 16-27
Gender Female, 52%
Sad 53.9%
Angry 45.3%
Calm 45.2%
Happy 45.1%
Disgusted 45.4%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Male, 50%
Calm 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Sad 45.8%
Angry 47.7%
Calm 50.3%
Confused 45.2%
Happy 45.4%
Surprised 45.2%
Disgusted 45.4%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.6%
Angry 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Disgusted 45.2%
Happy 45.2%
Sad 45.8%
Angry 46%
Calm 52.6%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

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

AWS Rekognition

Age 60-80
Gender Female, 54.7%
Calm 45.9%
Disgusted 46.3%
Angry 45.6%
Sad 49.2%
Happy 47.4%
Confused 45.3%
Surprised 45.3%

AWS Rekognition

Age 23-38
Gender Female, 53.2%
Calm 53.3%
Happy 45.1%
Surprised 45.1%
Sad 45.3%
Angry 46%
Disgusted 45.1%
Confused 45%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Surprised 49.5%
Happy 49.5%
Sad 50.4%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Disgusted 46.5%
Calm 45.4%
Angry 46.6%
Sad 50.8%
Happy 45.3%
Surprised 45.2%
Confused 45.3%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Sad 49.2%
Disgusted 45.4%
Confused 45.2%
Angry 45.5%
Happy 48.9%
Surprised 45.2%
Calm 45.6%

AWS Rekognition

Age 35-53
Gender Female, 50.3%
Angry 49.5%
Calm 49.7%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Disgusted 50.1%
Calm 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Sad 49.8%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.7%
Surprised 49.5%
Calm 49.9%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 53.7%
Sad 46.8%
Angry 45.1%
Happy 52.5%
Confused 45.1%
Surprised 45.1%
Disgusted 45.1%
Calm 45.2%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Happy 45.1%
Angry 45.2%
Calm 45.3%
Disgusted 45.1%
Sad 54.2%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Sad 49.6%
Angry 49.6%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 50.1%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Happy 49.7%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50.1%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Confused 49.5%
Angry 49.6%
Calm 49.5%
Disgusted 49.5%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Sad 49.7%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Happy 49.7%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 50.2%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Sad 50.1%
Confused 49.5%
Angry 49.6%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 45.3%
Surprised 45.2%
Confused 45.3%
Sad 48.8%
Angry 45.5%
Calm 47.7%
Happy 47.1%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.6%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.6%
Sad 50%
Disgusted 49.6%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Calm 50.3%

AWS Rekognition

Age 45-63
Gender Female, 50.2%
Surprised 49.6%
Sad 49.7%
Happy 49.7%
Disgusted 49.6%
Confused 49.5%
Calm 49.9%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Sad 50.1%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 57-77
Gender Female, 50%
Sad 49.8%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.7%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.7%
Happy 49.5%
Surprised 49.5%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%
Happy 49.5%
Calm 49.9%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 49.7%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50%
Happy 49.5%
Angry 49.6%

Feature analysis

Amazon

Person 99.4%

Text analysis

Amazon

P.SAE
P.SAE BROORLYN
BROORLYN
203
AuUsT
c l1

Google

BROOYN
August
25002
P.SAB BROOYN NACATION-PAvEkoUNDS August 25002
P.SAB
NACATION-PAvEkoUNDS