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. 1900

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, 3.2002.3564

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. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Advertisement 99.8
Poster 99.8
Human 98.4
Person 98.4
Person 95.6
Person 95.4
Person 93.6
Person 93.1
Person 88.9
Person 83.2
Text 83
Person 82.6
Person 81.9
Person 79.4
Person 78.6
Person 78.3
Person 78.2
Brochure 77.5
Paper 77.5
Flyer 77.5
Person 75
People 73.9
Person 71.1
Person 70
Person 69.4
Crowd 68.6
Person 67.7
Person 66.6
Person 66.5
Art 65.7
Person 62.8
Collage 61.2
Person 60.3
Military 58.8
Military Uniform 55.4
Person 51
Person 43.9
Person 42.1

Clarifai
created on 2019-06-05

no person 96.9
people 94.6
paper 94
print 93.5
picture frame 91.9
collection 91.4
old 90.6
retro 90.4
desktop 90
illustration 90
vintage 89.6
page 89
card 88.8
art 88.5
antique 87.3
blank 86.2
war 85
wood 85
bill 84.4
text 83.8

Imagga
created on 2019-06-05

brass 82.6
memorial 69.5
blackboard 67.5
structure 54.1
vintage 43
grunge 40
old 38.3
menu 35.5
retro 35.2
paper 32.9
texture 31.2
frame 30.8
antique 30.3
border 27.1
fare 24.8
ancient 23.3
design 23.1
text 21.8
aged 21.7
dirty 21.7
damaged 19.1
pattern 18.5
wallpaper 18.4
material 17
rough 16.4
art 16.3
rusty 16.2
grungy 16.1
empty 15.5
blank 15.4
space 14.7
note 14.7
letter 14.7
wall 14.5
card 14.4
backdrop 14
graphic 13.9
board 13.8
money 13.6
food 12.6
decoration 12.3
sheet 12.2
black 12
currency 11.7
stamp 11.6
business 11.5
parchment 11.5
bill 11.4
film 11.4
dollar 11.1
cash 11
finance 11
paint 10.9
scratch 10.7
decay 10.6
backgrounds 10.5
worn 10.5
page 10.2
historic 10.1
element 9.9
bank 9.9
frames 9.8
messy 9.7
stained 9.6
brown 9.6
template 9.2
digital 8.9
financial 8.9
grime 8.8
ragged 8.8
textured 8.8
stains 8.8
rust 8.7
exchange 8.6
old fashioned 8.6
weathered 8.5
document 8.3
grain 8.3
banking 8.3
symbol 8.1
chalkboard 7.8
slide 7.8
mottled 7.8
chalk 7.8
album 7.8
fracture 7.8
burnt 7.8
scrapbook 7.8
movie 7.7
hundred 7.7
detailed 7.7
edge 7.7
dirt 7.6
poster 7.6
decorative 7.5
screen 7.5
message 7.3
global 7.3
color 7.2
computer 7.2
wealth 7.2

Google
created on 2019-06-05

Photograph 95.6
Text 90.3
History 75.2
Font 75
Paper product 74.5
Paper 70.2
Room 65.7
Collection 65.4
Photography 62.4
Photograph album 59.1
Album 57.4
Newsprint 52.5

Microsoft
created on 2019-06-05

person 92.4
old 79.2
plaque 30.8

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Sad 50.1%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Sad 50.3%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Surprised 49.6%
Happy 49.6%
Sad 49.8%
Angry 49.7%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Happy 49.5%
Angry 49.9%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Male, 50.2%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%
Sad 49.9%
Angry 49.7%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.4%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Calm 49.5%
Happy 49.6%
Disgusted 49.6%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Confused 49.6%
Calm 49.6%
Sad 50%
Happy 49.7%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-53
Gender Male, 50.3%
Confused 49.5%
Disgusted 50.3%
Calm 49.5%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.5%
Angry 50.2%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.6%
Happy 49.7%
Surprised 49.6%
Calm 49.5%
Angry 49.6%
Confused 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%
Sad 49.9%
Calm 49.6%
Happy 49.7%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 49.6%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Surprised 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50%
Sad 50.1%
Calm 49.5%
Surprised 49.5%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Surprised 49.6%
Happy 49.5%
Sad 50.2%
Angry 49.6%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 49.8%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.9%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Confused 49.5%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.7%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.9%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.6%
Calm 49.9%
Confused 49.6%
Sad 49.6%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Angry 49.5%
Disgusted 50.5%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Angry 49.7%
Calm 49.7%
Confused 49.6%
Sad 49.9%
Happy 49.6%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Calm 49.6%
Angry 49.9%
Surprised 49.6%
Confused 49.6%
Sad 49.6%
Happy 49.5%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Confused 49.6%
Sad 49.8%
Surprised 49.6%
Disgusted 49.5%
Calm 49.9%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.3%
Sad 50.1%
Angry 49.7%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.9%
Confused 49.6%
Calm 49.7%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Happy 49.5%
Angry 49.5%

Feature analysis

Amazon

Poster 99.8%
Person 98.4%

Text analysis

Amazon

Te
Dverall
Baron
Woodbine
221.
Woodlbine
Lpedion:
Davilyovian
220. Clb. 221. Te Davilyovian Club.
218.
Woodbine Baron Hirsch sehool. Woodlbine N.J.
N.J.
Clb.
Club.
220.
Dverall Lpedion: AGop o Ppi & Tacaltey Papy Tatcitey
Hirsch
sehool.
AGop o Ppi & Tacaltey
Papy
The HAf
The HAf geccarr
Tatcitey
geccarr

Google

and
N.J.
221
Clb.
ce
Woodbine
School,
Woodbine,
219
220
Dain
Woodbine Settlement and School, Woodbine, N.J. Baron de 1lirsch Fundl. 218. 219 Dierall ytion. 221 220 The Dain Clb. ce Ckb
1lirsch
The
Settlement
218.
Baron
de
Fundl.
Dierall
ytion.
Ckb