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. 1904
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, 3.2002.3563

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. 1904

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Poster 99.5
Advertisement 99.5
Human 99.5
Person 99.3
Military 98.9
Military Uniform 98.6
Person 98.6
Person 98.4
People 96.4
Person 95.1
Person 94.5
Person 94.1
Person 93.5
Person 92.4
Person 89.8
Person 89.7
Person 89.5
Army 87.1
Armored 87.1
Person 83.4
Officer 82.6
Person 80.4
Hockey 79.7
Team 79.7
Sports 79.7
Team Sport 79.7
Sport 79.7
Soldier 79.6
Person 79.5
Person 79.5
Person 78.9
Person 78.6
Person 77.6
Troop 76.7
Person 76.4
Person 73.6
Person 72.9
Police 71.2
Person 69
Person 67.5
Crowd 61.6
Person 61.3
Person 60.6
Person 53.8
Person 48.6
Person 43.1

Clarifai
created on 2019-06-05

nature 94.6
desktop 94.3
collection 93.7
people 93.5
picture frame 92.6
medicine 92.5
symbol 92.1
card 91.8
healthcare 90.7
set 90.1
medical 89.1
leaf 88.3
print 87.3
no person 86.9
man 85.5
group 85.4
banner 82.3
grass 82.1
art 81.7
retro 80.9

Imagga
created on 2019-06-05

menu 92.5
fare 73
grunge 49.4
vintage 43.8
old 42.5
retro 41.8
frame 38.5
texture 36.8
blackboard 35.4
antique 34.6
food 34.3
border 33.4
paper 31.5
dirty 28.9
aged 28
design 27
art 26.8
damaged 25.7
film 22.2
ancient 21.6
pattern 21.2
graphic 21.1
grungy 20.9
rough 20
text 19.2
paint 18.1
material 17.9
empty 17.2
decoration 17
black 16.8
wallpaper 16.1
blank 15.4
wall 15.4
negative 15
digital 13.8
letter 13.7
photographic 13.7
frames 13.7
card 13.6
space 13.2
textured 13.1
structure 13
parchment 12.5
dirt 12.4
poster 12.3
backgrounds 12.2
slide 11.7
scratch 11.7
edge 11.5
rusty 11.4
brown 11
backdrop 10.7
album 10.7
weathered 10.4
computer 10.4
sheet 10.3
historic 10.1
noisy 9.9
scratches 9.8
noise 9.8
stains 9.7
messy 9.7
your 9.7
decay 9.6
style 9.6
rust 9.6
spot 9.6
page 9.3
note 9.2
decorative 9.2
screen 9.1
element 9.1
drawing 8.9
stamp 8.9
designed 8.8
layered 8.8
mess 8.8
movie 8.7
layer 8.7
artistic 8.7
stained 8.6
mask 8.6
textures 8.5
camera 8.3
highly 7.9
book jacket 7.8
photograph 7.8
sketch 7.8
ragged 7.8
book 7.8
strip 7.8
collage 7.7
detailed 7.7
flower 7.7
worn 7.6
age 7.6
dark 7.5
wood 7.5
envelope 7.5
silhouette 7.4
symbol 7.4
grain 7.4
template 7.3
snow 7.1
decor 7.1
jacket 7.1

Google
created on 2019-06-05

Photograph 95.6
Text 88.1
Photograph album 73.7
Collection 73.4
Album 73.2
History 72.6
Photographic paper 68.5
Photography 67.8
Room 65.7
Paper product 60.9
Paper 54.3

Microsoft
created on 2019-06-05

person 97.8
clothing 94.7
man 90.7
picture frame 68

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.8%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.5%
Angry 49.5%
Happy 49.8%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.1%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-66
Gender Female, 50.2%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.2%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Female, 50.4%
Angry 49.5%
Happy 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.6%
Sad 50.1%
Calm 49.6%
Happy 49.6%
Confused 49.6%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Surprised 49.6%
Happy 49.7%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Calm 49.7%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.4%
Calm 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Happy 49.8%
Angry 49.5%
Surprised 49.6%
Calm 49.9%
Sad 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Sad 50.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Male, 50.3%
Disgusted 49.6%
Confused 49.7%
Happy 49.6%
Calm 49.6%
Surprised 49.6%
Sad 49.9%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.6%
Sad 49.7%
Disgusted 49.7%
Calm 49.6%
Happy 49.9%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Disgusted 49.6%
Angry 49.6%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Sad 49.7%
Happy 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%
Calm 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Happy 49.6%
Calm 49.5%
Angry 49.9%
Sad 49.7%
Disgusted 49.8%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.7%
Disgusted 49.6%
Confused 49.6%
Sad 49.8%
Calm 49.6%
Happy 49.7%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Sad 50%
Surprised 49.5%
Happy 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Confused 49.5%
Happy 49.6%
Sad 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 50%
Calm 49.9%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Sad 49.6%
Surprised 49.6%
Angry 49.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.8%
Calm 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 49.8%
Happy 49.8%
Disgusted 49.6%
Calm 49.6%
Angry 49.7%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 50.2%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Angry 49.7%
Calm 49.5%
Sad 50.2%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-65
Gender Female, 50.4%
Calm 49.6%
Sad 50%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Happy 49.8%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Surprised 49.5%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.6%
Surprised 49.5%
Disgusted 49.8%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.6%
Confused 49.5%
Sad 49.7%
Calm 49.6%
Happy 49.6%
Disgusted 49.5%
Angry 50%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Sad 49.7%
Calm 49.9%
Disgusted 49.5%
Happy 49.6%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Sad 50%
Angry 49.7%
Calm 49.6%
Happy 49.5%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.7%
Surprised 49.5%
Angry 49.7%
Confused 49.5%
Sad 49.6%
Calm 49.7%
Happy 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Calm 49.8%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Sad 49.7%
Happy 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Calm 49.7%
Angry 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Sad 49.6%
Calm 49.8%
Surprised 49.6%
Confused 49.5%
Angry 49.7%
Disgusted 49.7%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50%
Happy 49.5%
Angry 49.6%
Calm 49.9%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Sad 50.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.8%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Male, 50.2%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.8%
Disgusted 49.9%
Angry 49.6%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Calm 49.7%
Confused 49.6%
Surprised 49.5%
Sad 49.8%
Happy 49.5%
Angry 49.7%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.5%
Happy 49.5%
Surprised 49.6%
Calm 50%

Feature analysis

Amazon

Poster 99.5%
Person 99.3%

Text analysis

Amazon

Clay
Woodbine
de
Baron
1905.
Baron de Hinsch Fund.
208.
School.
o 1905.
207
209.
Hinsch
o
Fund.
Woodbine School. Woodbine N.J.
lacaltyy
N.J.
Car
Clary
Clar ow 19go
Clar ow 19go 19o2.
19o2.
Clary & lacaltyy go1.
go1.
Car y 1go4.
1go4.
y
&

Google

de
206
Chyr
Chec
ob
208
Cly
C&caly
o
1904.
1003.
Woodbine Settlement and School. Woodbine, N.J. Baron de Hirsch Fund. 206 207 Chyr aty Chec o2. ob 209 208 Cly C&caly o 1904. 1003.
Woodbine
Settlement
and
School.
Woodbine,
N.J.
Baron
Hirsch
Fund.
207
aty
o2.
209