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
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, 3.2002.2393

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

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, 3.2002.2393

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 98.4
Human 98.4
Person 98.2
Indoors 97.3
Room 97.3
Person 96.6
Person 91.6
Interior Design 89.8
Person 89.4
Crowd 88.5
Person 85.7
Person 85.6
Person 83.7
Person 78.7
Advertisement 72.9
Person 72
School 71.1
Classroom 71.1
Poster 67.8
Leisure Activities 64
Person 62.1
Theater 61.9
Musical Instrument 58.1
Concert 57.4
Person 56.9
Person 56.6
Text 56.5
Collage 56.2
Restaurant 55.7
Audience 55.6
People 55.5

Clarifai
created on 2019-06-04

people 98.6
adult 95.2
man 94.2
group 93.8
woman 92.5
many 89.6
wear 88.6
indoors 81.4
room 81.1
retro 78.6
sit 75.5
desktop 75.4
furniture 74.8
one 74.2
child 72.7
group together 70.9
paper 70.8
music 70
art 69.8
vintage 69.3

Imagga
created on 2019-06-04

old 29.2
grunge 28.9
aged 22.6
vintage 20.6
container 20.6
texture 19.4
home 17.5
blackboard 17.1
paper 16.7
man 15.1
antique 15
art 15
smiling 14.5
dirty 14.5
grungy 14.2
retro 13.9
happy 13.8
male 13.5
indoors 13.2
pattern 12.3
envelope 12
adult 11.9
design 11.8
material 11.6
perfume 11.2
blank 11.1
decoration 10.9
wall 10.9
paint 10.9
person 10.8
holding 10.7
decay 10.6
people 10.6
computer 10.4
sitting 10.3
structure 10.2
wallpaper 10
surface 9.7
textured 9.6
brown 9.6
empty 9.5
rusty 9.5
ancient 9.5
weathered 9.5
architecture 9.4
space 9.3
toiletry 9.3
horizontal 9.2
house 9.2
frame 9.2
black 9
cheerful 8.9
color 8.9
room 8.9
detail 8.8
box 8.4
camera 8.3
indoor 8.2
rough 8.2
graphic 8
business 7.9
couple 7.8
jigsaw puzzle 7.8
worn 7.6
newspaper 7.6
senior 7.5
product 7.5
mature 7.4
glass 7.4
building 7.4
laptop 7.3
creation 7.2
lifestyle 7.2
portrait 7.1
decor 7.1
working 7.1

Google
created on 2019-06-04

Photograph 97
Text 90.3
Snapshot 87.4
Room 86.7
Adaptation 74.1
Collection 68.7
Photographic paper 67.2
History 66.1
Stock photography 64
Photography 62.4
Art 58.1
Photograph album 53.4
Album 52.1
Family 50.2

Microsoft
created on 2019-06-04

person 98
clothing 92.9
man 79.6
different 49.5
several 12.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.8%
Sad 50.1%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.1%
Angry 45.3%
Calm 45.1%
Disgusted 45.2%
Happy 45%
Surprised 45.1%
Sad 54%
Confused 45.2%

AWS Rekognition

Age 17-27
Gender Female, 53.3%
Disgusted 46.4%
Surprised 45.5%
Confused 45.4%
Sad 46.1%
Angry 47%
Calm 49.4%
Happy 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 50.1%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 38-59
Gender Male, 52.6%
Angry 46.9%
Surprised 45.7%
Disgusted 46.2%
Happy 45.4%
Calm 46.4%
Sad 48.2%
Confused 46%

AWS Rekognition

Age 35-52
Gender Female, 50.9%
Calm 45.4%
Surprised 45.2%
Disgusted 50.1%
Confused 45.2%
Sad 46.1%
Happy 45.3%
Angry 47.8%

AWS Rekognition

Age 29-45
Gender Female, 51%
Disgusted 45.1%
Angry 45.2%
Sad 54.1%
Surprised 45.1%
Happy 45.1%
Calm 45.3%
Confused 45.1%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Surprised 49.6%
Confused 49.6%
Happy 49.5%
Angry 49.5%
Calm 50%
Sad 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Calm 49.5%
Angry 49.7%

AWS Rekognition

Age 17-27
Gender Female, 54%
Disgusted 45.4%
Calm 49.1%
Surprised 45.3%
Angry 49%
Sad 46%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.6%
Calm 49.6%
Happy 50%
Sad 49.6%
Angry 49.5%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 51%
Sad 51.5%
Confused 45.5%
Angry 45.7%
Surprised 45.2%
Disgusted 45.3%
Happy 45.2%
Calm 46.6%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.3%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Happy 45.2%
Angry 45.2%
Calm 53.7%
Disgusted 45.1%
Sad 45.4%
Confused 45.2%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Confused 49.6%
Surprised 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 49.9%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Sad 50%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.9%

AWS Rekognition

Age 27-44
Gender Male, 50.3%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 50.1%
Happy 49.5%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Happy 50%
Confused 49.5%
Sad 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.7%
Disgusted 49.6%
Sad 50.2%
Calm 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.7%
Calm 49.9%
Surprised 49.6%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Calm 50.1%
Angry 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Sad 50.2%
Happy 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Surprised 49.6%
Happy 49.6%
Sad 49.8%
Calm 49.5%
Confused 49.6%
Disgusted 49.9%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Calm 50%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 11-18
Gender Male, 50.5%
Confused 49.5%
Sad 49.5%
Angry 49.5%
Disgusted 50.4%
Calm 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.7%
Angry 49.6%
Confused 49.6%
Calm 49.8%
Sad 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Sad 50%
Disgusted 49.5%
Calm 49.7%
Surprised 49.6%
Happy 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Surprised 49.5%
Sad 50.3%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Angry 49.5%
Confused 49.6%
Disgusted 49.5%
Sad 50%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.2%
Surprised 49.6%
Confused 49.6%
Angry 49.9%
Disgusted 49.5%
Sad 49.6%
Happy 49.5%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 49.8%
Disgusted 49.7%
Surprised 49.6%
Angry 49.8%
Happy 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%
Calm 49.7%
Happy 49.6%
Angry 49.5%
Sad 50.1%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Sad 50.1%
Confused 49.6%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 57-77
Gender Male, 50.2%
Surprised 49.6%
Happy 49.7%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%
Sad 49.7%
Angry 49.8%

Feature analysis

Amazon

Person 98.4%

Categories

Imagga

paintings art 55.4%
text visuals 25.5%
interior objects 10.2%
food drinks 6.7%
pets animals 1.3%

Text analysis

Amazon

Entry
United
Immigrant
New
United States Immigrant Station, New York City
States
Station,
City
Immigration
York
Port
Regnlation
Regnlation of Immigration at the Port of Entry
the
of
at
DETAINDY
AREIVAL
OR DL'IAINED. DETAINDY AREIVAL
OR
1Ra.35.71217
DL'IAINED.

Google

Regulation of Immigration at the Port of Entry United States Immigrant Station, New York City NEW YOZK DETAINED, AWAITNG AREIVAL o ENDS A PINING 9o roR ETAINED AND EXCLUDED WOWEN
Regulation
of
Immigration
at
the
Port
Entry
United
States
Immigrant
Station,
New
York
City
NEW
YOZK
DETAINED,
AWAITNG
AREIVAL
o
ENDS
A
PINING
9o
roR
ETAINED
AND
EXCLUDED
WOWEN