Human Generated Data

Title

Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: View of main floor. Immigrants awaiting further inspection.
Date

c. 1903
People

Artist: J. H. Adams, American active 1900s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2370.2

Human Generated Data

Title

Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: View of main floor. Immigrants awaiting further inspection.

People

Artist: J. H. Adams, American active 1900s

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2370.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Building 99.8
Factory 99.8
Assembly Line 99
Human 95.9
Person 95.9
Person 89.9
Person 88
Person 85.4
Person 84.8
Person 84.5
Person 83.8
Person 83.7
Person 80.9
Crowd 75.4
Manufacturing 72.6
People 67.1
Person 66.3
Refinery 58.2
Workshop 55.2

Clarifai
created on 2019-06-04

people 99.5
group together 97.3
many 96.9
group 96.7
transportation system 95.8
adult 94.7
industry 94.6
vehicle 94.3
no person 94.1
indoors 92.8
monochrome 92.4
military 92
furniture 89.8
aircraft 86.8
war 86.8
grinder 86.4
chair 86
room 85.4
business 84.2
man 83.2

Imagga
created on 2019-06-04

blackboard 52.4
room 38.7
interior 34.5
house 25.9
tile 24.7
modern 24.5
home 23.9
furniture 23
architecture 19.5
design 19.1
bathroom 17.9
glass 17
decor 16.8
floor 16.7
clean 15.9
luxury 15.4
table 14.4
apartment 14.4
wall 13.9
sink 13.7
wood 13.3
indoors 13.2
toilet 12.9
kitchen 12
light 12
inside 12
indoor 11.9
hall 11.8
faucet 11.8
decoration 11.6
bath 11.4
old 11.1
style 11.1
window 11
shower 10.8
counter 10.6
cabinet 10.3
business 10.3
dishwasher 10
city 10
new 9.7
chair 9.7
residential 9.6
hotel 9.5
white goods 9.4
contemporary 9.4
nobody 9.3
domestic 9
metal 8.8
wooden 8.8
lamp 8.6
bright 8.6
food 8.6
construction 8.5
3d 8.5
technology 8.2
structure 8.1
building 8.1
center 8
steel 7.9
furnishing 7.8
appliance 7.7
grunge 7.7
expensive 7.7
dining 7.6
estate 7.6
elegance 7.5
relaxation 7.5
plant 7.5
retro 7.4
brown 7.4
home appliance 7.2
stove 7
travel 7

Google
created on 2019-06-04

Metropolitan area 87.4
Urban area 83.5
Metropolis 73.5
City 68.6
Photography 67.8
Crowd 66.3
Building 60.6
Night 60.4
Thoroughfare 57.7
Aerial photography 53.1
Electricity 50.7

Microsoft
created on 2019-06-04

outdoor 98.3
building 84
person 78.4
factory 74
white 64.9
old 63.2
crowd 0.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Calm 49.7%
Confused 49.5%
Happy 49.5%
Sad 50%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.5%
Sad 49.7%
Happy 49.5%
Confused 49.6%
Calm 50.1%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Disgusted 49.6%
Sad 49.9%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.7%
Disgusted 49.5%
Surprised 49.6%
Angry 50%
Happy 49.5%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 49.5%
Disgusted 49.9%
Surprised 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Calm 49.9%
Happy 49.5%
Disgusted 49.6%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Confused 49.6%
Sad 49.8%
Surprised 49.6%
Happy 49.6%
Angry 49.7%
Disgusted 49.6%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 49.8%
Confused 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Calm 50%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.7%
Sad 49.8%
Calm 49.6%
Happy 49.7%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Happy 49.6%
Disgusted 49.6%
Sad 50%
Confused 49.5%
Angry 49.7%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Disgusted 49.6%
Sad 49.9%
Surprised 49.6%
Calm 49.7%
Angry 49.5%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.6%
Disgusted 49.5%
Sad 50.1%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.7%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Happy 49.6%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.2%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Sad 50%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Sad 50.4%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Surprised 49.6%
Calm 49.6%
Angry 49.5%
Disgusted 49.7%
Happy 49.6%
Sad 50%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Calm 49.6%
Happy 49.6%
Sad 49.8%
Surprised 49.5%
Disgusted 49.7%
Angry 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.1%
Surprised 49.5%
Happy 49.6%
Calm 49.5%
Confused 49.6%

Feature analysis

Amazon

Person 95.9%

Categories

Imagga

streetview architecture 65.8%
interior objects 33.1%