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: Detained at the "Moral Gate-Way," Pending Further Investigation.

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, 3.2002.300.1

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: Detained at the "Moral Gate-Way," Pending Further Investigation.

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, 3.2002.300.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 98.9
Human 98.9
Person 98.3
Clothing 95.5
Apparel 95.5
Person 92.4
Chair 86.3
Furniture 86.3
Person 83.7
Sitting 83
Lighting 81
Crowd 79.7
Person 75.8
Building 71
Person 66.9
Audience 64.5
People 63.8
Paper 63.1
Coat 62.2
Indoors 58.3
Room 58.3
Overcoat 57
Painting 55.8
Art 55.8
Electronics 55.6
Display 55.6
LCD Screen 55.6
Monitor 55.6
Screen 55.6
Waiting Room 55.6
Hat 55.1
Person 45.5

Clarifai
created on 2019-06-04

people 99.7
group 97.4
adult 97.2
woman 95.8
many 94.7
man 94.4
group together 94.2
indoors 89.6
room 88.2
administration 86.5
wear 86.3
several 84.9
one 84.6
recreation 82
military 81.2
music 80.8
war 80.5
leader 80.5
vehicle 79.2
chair 77.8

Imagga
created on 2019-06-04

hall 56.7
room 54.1
chair 51.6
interior 44.2
table 39.1
classroom 34.8
restaurant 30.9
furniture 25.5
seat 24.6
architecture 20.3
indoors 20.2
chairs 19.6
floor 19.5
empty 18.9
indoor 18.3
modern 18.2
glass 17.9
wood 17.5
home 16.8
building 16.6
dining 16.2
decor 15.9
design 15.8
style 15.6
window 15.6
decoration 15.3
house 15
tables 14.8
dinner 14.3
drink 14.2
light 14
food 13.9
inside 12.9
luxury 12.9
eat 12.6
nobody 12.4
night 12.4
comfortable 12.4
hotel 12.4
lamp 12.4
bar 12
lunch 12
people 11.7
city 11.6
place 11.2
old 11.1
wooden 10.5
urban 10.5
party 10.3
wine 10.2
life 9.8
wall 9.7
lifestyle 9.4
space 9.3
coffee 9.3
service 9.3
cafeteria 9
shop 8.9
barbershop 8.9
culture 8.6
structure 8.5
contemporary 8.5
relax 8.4
elegance 8.4
stool 7.9
scene 7.8
travel 7.7
residential 7.7
relaxation 7.5
tea 7.5
traditional 7.5
row 7.5
street 7.4
adult 7.2
office 7.1

Google
created on 2019-06-04

Microsoft
created on 2019-06-04

clothing 98.8
person 93.8
man 90.5
smile 82.9
human face 67.5
woman 65.5

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 27-44
Gender Male, 99%
Confused 5.9%
Calm 78.1%
Disgusted 1.8%
Happy 1.6%
Angry 3.4%
Sad 1.3%
Surprised 7.8%

AWS Rekognition

Age 14-25
Gender Female, 53.8%
Surprised 45.4%
Confused 45.5%
Happy 45.5%
Angry 45.7%
Disgusted 45.2%
Sad 47.2%
Calm 50.6%

AWS Rekognition

Age 26-43
Gender Female, 51.4%
Confused 45.2%
Angry 46.1%
Disgusted 45.4%
Surprised 45.3%
Sad 45.7%
Happy 46.6%
Calm 50.7%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Calm 48.6%
Disgusted 45.2%
Angry 45.5%
Sad 49.7%
Happy 45.2%
Confused 45.5%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Surprised 47.5%
Confused 45.4%
Happy 45.4%
Angry 45.6%
Disgusted 45.8%
Sad 50%
Calm 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Angry 46.3%
Disgusted 45.2%
Sad 48.4%
Confused 45.8%
Happy 45.4%
Surprised 45.8%
Calm 48.2%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Calm 49.7%
Surprised 49.6%
Sad 49.6%
Angry 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Confused 49.6%
Angry 49.8%
Disgusted 49.5%
Surprised 49.6%
Sad 49.6%
Happy 49.5%
Calm 49.8%

Microsoft Cognitive Services

Age 42
Gender Male

Microsoft Cognitive Services

Age 42
Gender Male

Feature analysis

Amazon

Person 98.9%
Painting 55.8%

Categories

Text analysis

Amazon

3

Google

3
3