Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.

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, 3.2002.3

Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.

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, 3.2002.3

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Advertisement 99.9
Collage 99.7
Paper 97.9
Flyer 97.9
Brochure 97.9
Person 97.8
Human 97.8
Person 97.7
Person 97.5
Person 95.2
Person 93.2
Person 90.6
Poster 88.9
Person 88.7
Person 82.8
Person 76.4
Person 76.2
Person 70.5
Person 66.9
Person 66.4
Person 64.1
Text 57.2
Person 45.5

Clarifai
created on 2019-06-05

people 99
picture frame 98.3
adult 97.2
painting 97.1
art 96.9
no person 96.2
print 95.6
man 94.9
woman 94.9
blank 93.5
illustration 92.6
retro 92.1
antique 90.1
group 89.8
paper 89.3
one 89
outdoors 88.7
card 87.3
collage 86.9
portrait 86.7

Imagga
created on 2019-06-05

book jacket 32.6
paper 32.4
blackboard 32.3
book 31.8
envelope 31.8
old 30
frame 28.4
blank 26.6
jacket 26.3
vintage 25.6
aged 22.6
retro 20.5
grunge 20.4
empty 19.8
wrapping 19.3
note 17.5
container 17.3
card 17.2
border 17.2
texture 16
product 16
covering 14.9
ancient 14.7
space 14
binding 13.8
message 13.7
design 13.6
page 13
antique 13
film 12.9
creation 12.8
business 12.1
black 12
letter 11.9
brown 11.8
album 11.7
comic book 11.1
open 10.8
memory 10.6
textured 10.5
board 10.5
text 10.5
menu 10.4
document 10.2
global 10
holding 9.9
postmark 9.9
copy 9.7
office 9.6
mail 9.6
stamp 9.5
money 9.4
art 9.3
template 9.2
dirty 9
printed 8.9
instant 8.8
man 8.7
read 8.6
worn 8.6
wood 8.3
backdrop 8.2
photograph 8.1
computer 8.1
drawing 8
map 8
fare 7.9
postage 7.9
chalkboard 7.8
education 7.8
wallpaper 7.7
post 7.6
hand 7.6
write 7.5
element 7.4
close 7.4
cover 7.4
history 7.2
information 7.1

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

text 90.6
person 74.5
clothing 73.1
old 45

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Female, 54.5%
Calm 45.7%
Sad 52.9%
Surprised 45.1%
Disgusted 45.3%
Angry 45.7%
Happy 45.2%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.7%
Confused 45.5%
Sad 45.8%
Happy 46%
Surprised 46.1%
Disgusted 47%
Calm 48.6%
Angry 46%

AWS Rekognition

Age 20-38
Gender Female, 52.4%
Calm 45.7%
Angry 46.8%
Happy 45.2%
Confused 45.3%
Surprised 45.2%
Disgusted 49%
Sad 47.8%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Surprised 49.6%
Confused 49.6%
Sad 49.8%
Disgusted 49.6%
Happy 49.7%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 54.3%
Confused 45.2%
Surprised 45.4%
Angry 47.8%
Calm 48.9%
Sad 46.5%
Happy 45.3%
Disgusted 45.8%

AWS Rekognition

Age 57-77
Gender Female, 50%
Surprised 49.5%
Confused 49.5%
Sad 50%
Disgusted 49.9%
Happy 49.5%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.7%
Sad 49.9%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Confused 49.6%
Sad 49.8%
Happy 49.7%
Surprised 49.6%
Disgusted 49.6%
Calm 49.7%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Calm 49.7%
Sad 50.2%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Calm 49.6%
Sad 50%
Confused 49.6%
Surprised 49.5%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Calm 49.7%
Happy 49.9%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Confused 49.5%
Calm 49.6%
Angry 49.8%
Surprised 49.5%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.6%
Calm 49.7%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%
Sad 49.7%
Confused 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 50%
Disgusted 49.5%
Calm 49.7%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Happy 49.7%
Confused 49.7%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Happy 49.8%
Disgusted 49.5%
Calm 49.9%
Sad 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.7%
Disgusted 49.6%
Angry 49.7%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.8%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.6%
Sad 50%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.7%
Surprised 49.6%
Calm 49.7%
Confused 49.7%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Disgusted 49.6%
Calm 50.2%
Confused 49.5%
Happy 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Calm 49.8%
Confused 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.7%
Disgusted 49.6%
Angry 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Calm 50%
Confused 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.7%
Sad 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Calm 49.5%
Happy 49.5%
Angry 50.2%
Disgusted 49.5%
Surprised 49.6%
Confused 49.6%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.8%
Happy 49.5%
Sad 50%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Sad 49.7%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.3%

AWS Rekognition

Age 60-80
Gender Female, 50.1%
Angry 49.6%
Sad 50.3%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Sad 50.1%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Calm 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.7%
Surprised 49.6%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50%
Calm 50.1%
Disgusted 49.6%
Sad 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Angry 49.6%
Happy 49.8%
Surprised 49.6%
Disgusted 49.6%
Sad 49.6%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Calm 49.8%
Angry 49.9%
Confused 49.6%
Sad 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Sad 49.8%
Happy 49.7%
Surprised 49.7%
Disgusted 49.6%
Calm 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Surprised 49.6%
Happy 49.6%
Calm 49.6%
Sad 49.7%
Disgusted 49.7%
Confused 49.5%
Angry 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 50.3%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Calm 49.5%
Sad 50.1%
Disgusted 49.7%
Surprised 49.5%
Confused 49.6%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Calm 49.9%
Sad 49.7%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.7%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Confused 49.5%
Sad 49.8%
Angry 49.6%
Calm 50%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.7%
Sad 49.7%
Happy 49.5%
Disgusted 49.6%
Calm 49.6%
Surprised 49.7%
Confused 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Calm 49.7%
Confused 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.9%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Happy 49.6%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 49.6%
Happy 49.8%
Confused 49.6%
Disgusted 49.6%
Calm 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%
Calm 50%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.7%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Surprised 49.6%
Confused 49.7%
Sad 49.8%
Disgusted 49.5%
Happy 49.6%
Angry 49.7%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Surprised 49.6%
Sad 49.7%
Calm 49.8%
Happy 49.7%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Sad 49.7%
Angry 49.7%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Surprised 49.5%
Confused 49.6%
Angry 49.7%
Happy 49.6%
Disgusted 49.6%
Sad 49.8%
Calm 49.6%

Feature analysis

Amazon

Person 97.8%
Poster 88.9%

Categories

Captions

Text analysis

Amazon

Maids
Rejoicing
and
FGropgy
Baron
de
Baron de Fund.
Reople
Woodbive
Ora Maids ConvenYion.
Fund.
Fcople
Groue
12. Groue 1. FGropgy Woodbive Reople and
ConvenYion.
12.
Tea Pan'ty
and Hirseh sehool.
Rejoicing Tbeir tefiends.
tefiends.
Dayr
110. Regian Tea Pan'ty
Hirseh
110.
sehool.
Ora
Regian
B o Fcople Dayr
Tbeir
1.
o
B

Google

oodbine, N.J. Woodbine Settlement and School, Baron de Hirsch Fund. 110 111 BRossia Tea Party Qua Maids nvent ion, 115. 112. A Grocap of Woodbine People and Group of Feople on the Day e Priends Their "Rejoicing in the Law.
oodbine,
N.J.
Woodbine
Settlement
and
School,
Baron
de
Hirsch
Fund.
110
111
BRossia
Tea
Party
Qua
Maids
nvent
ion,
115.
112.
A
Grocap
of
People
Group
Feople
on
the
Day
e
Priends
Their
"Rejoicing
in
Law.