Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. "Greenpoint Settlement": Greenpoint Settlement, Brooklyn, N.Y.: Greenpoint Playground 1900. Started by Greenpoint Settlement and maintained for four summers in coöperation with the Brooklyn Society for Parks and Playgrounds. Now in Greenpoint Park under Park Department.

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, 3.2002.3133.4

Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. "Greenpoint Settlement": Greenpoint Settlement, Brooklyn, N.Y.: Greenpoint Playground 1900. Started by Greenpoint Settlement and maintained for four summers in coöperation with the Brooklyn Society for Parks and Playgrounds. Now in Greenpoint Park under Park Department.

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, 3.2002.3133.4

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.8
Human 99.8
Person 99.7
Person 99.4
Person 99.3
Person 99.2
Person 99.2
Person 98.7
Person 98.1
Person 97.7
Person 96.1
Person 95.1
Military 93.1
Military Uniform 91.4
People 89.3
Armored 87.2
Army 87.2
Crowd 86.9
Person 81.7
Soldier 77.1
Outdoors 76.9
Clothing 76
Apparel 76
Person 73.9
Nature 73.3
Person 70.3
Officer 67.9
Troop 64.2
Person 60.8
Pedestrian 57.7
Standing 55.9
Transportation 55
Person 45

Clarifai
created on 2019-06-06

people 99.9
group 99.3
group together 99.2
many 98.9
man 97.9
soldier 96.4
adult 95.8
military 95.2
cavalry 94.5
crowd 93.5
wear 93.2
administration 91.9
several 90.3
war 88.6
army 87.2
uniform 84.8
outfit 83.8
weapon 83.6
gun 83.6
illustration 83.6

Imagga
created on 2019-06-06

restaurant 20.3
chair 19.9
antelope 19.3
sand 18.9
gazelle 17.2
outdoors 17.2
travel 16.2
sky 16.1
summer 16.1
seat 15.8
park 15.6
landscape 15.6
table 15
wildlife 14.3
beach 13.9
water 13.3
wild 13.1
tourism 12.4
cafeteria 12.3
outdoor 12.2
grunge 11.9
grass 11.1
furniture 11
wall 10.7
safari 10.6
scenic 10.5
structure 10.5
sun 10.5
scene 10.4
empty 10.3
sea 10.2
graffito 10.1
dairy 10.1
life 9.9
building 9.8
brown 9.6
decoration 9.5
sunny 9.5
outside 9.4
glass 9.4
architecture 9.4
wood 9.2
city 9.1
national 9.1
herd 8.8
resort 8.8
bird 8.7
nobody 8.5
tropical 8.5
south 8.4
old 8.4
texture 8.3
event 8.3
lake 8.2
vacation 8.2
tranquil 8.1
room 8
design 7.9
day 7.8
wineglass 7.8
snow 7.8
wine 7.8
reserve 7.8
tree 7.7
clouds 7.6
dinner 7.6
relaxation 7.5
house 7.5
shore 7.4
style 7.4
horizon 7.2
desert 7.2
coast 7.2
antique 7

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

person 93.2
clothing 82.4
old 71.6
man 68.4
group 65.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Female, 52.5%
Disgusted 45.2%
Happy 46.4%
Angry 45.6%
Calm 45.9%
Surprised 45.3%
Confused 45.3%
Sad 51.2%

AWS Rekognition

Age 48-68
Gender Female, 51.2%
Angry 45.6%
Disgusted 51.8%
Confused 45.2%
Calm 46.1%
Happy 45.4%
Surprised 45.3%
Sad 45.7%

AWS Rekognition

Age 17-27
Gender Male, 51.7%
Sad 48.3%
Angry 45.5%
Confused 45.2%
Happy 45.2%
Disgusted 45.1%
Surprised 45.2%
Calm 50.5%

AWS Rekognition

Age 26-43
Gender Female, 53.8%
Calm 45.3%
Disgusted 45.1%
Surprised 45.1%
Angry 45.2%
Sad 49.9%
Confused 45.1%
Happy 49.2%

AWS Rekognition

Age 45-66
Gender Female, 50.9%
Angry 45.5%
Surprised 45.5%
Calm 50.9%
Happy 45.4%
Confused 45.3%
Disgusted 45.4%
Sad 47%

AWS Rekognition

Age 45-63
Gender Male, 53.9%
Sad 45.4%
Angry 45.1%
Calm 54.2%
Confused 45.1%
Happy 45%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 20-38
Gender Female, 53.5%
Surprised 45.5%
Sad 50.8%
Disgusted 45.4%
Calm 46.5%
Happy 46%
Angry 45.4%
Confused 45.5%

AWS Rekognition

Age 15-25
Gender Male, 51.7%
Sad 48.9%
Confused 45.5%
Surprised 45.9%
Happy 45.6%
Angry 47%
Disgusted 45.4%
Calm 46.7%

AWS Rekognition

Age 20-38
Gender Female, 53.9%
Disgusted 46.2%
Confused 45.4%
Calm 47.6%
Surprised 45.9%
Happy 47.5%
Sad 46.3%
Angry 46%

AWS Rekognition

Age 23-38
Gender Male, 52.4%
Angry 46.9%
Calm 45.7%
Sad 48.5%
Surprised 45.7%
Disgusted 46.4%
Happy 45.6%
Confused 46.3%

AWS Rekognition

Age 35-55
Gender Female, 51.2%
Calm 46.3%
Sad 46.1%
Confused 46.3%
Angry 45.5%
Disgusted 48.4%
Surprised 46.3%
Happy 46.1%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Happy 49.6%
Calm 49.9%
Sad 49.7%
Surprised 49.6%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.6%
Angry 49.5%
Calm 49.9%
Sad 49.7%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Sad 49.7%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.7%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Disgusted 49.6%
Calm 49.8%
Surprised 49.6%
Confused 49.5%
Happy 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50%
Angry 49.6%
Calm 49.8%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 50.2%
Sad 49.6%
Disgusted 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.6%
Surprised 49.6%
Happy 49.6%
Disgusted 49.7%
Angry 49.6%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 45-66
Gender Female, 50.3%
Confused 49.6%
Angry 49.6%
Disgusted 49.6%
Calm 49.7%
Happy 49.9%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52.7%
Angry 45.3%
Happy 46.2%
Disgusted 45.8%
Confused 46.4%
Calm 47.1%
Surprised 46.5%
Sad 47.7%

Feature analysis

Amazon

Person 99.8%

Categories

Imagga

interior objects 94.9%
paintings art 3.6%
food drinks 1.3%

Text analysis

Amazon

S

Google

S A 4
S
A
4