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, 3.2002.3555

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

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3555

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Advertisement 100
Collage 100
Human 98.1
Person 98.1
Person 97.4
Person 95
Person 94.4
Person 93.8
Person 93.3
Person 91.6
Person 90.3
Person 85.4
Paper 78.9
Brochure 78.9
Flyer 78.9
Person 77.7
Person 70
People 68.6
Person 68.5
Person 67.9
Person 65
Person 60.1
Crowd 58.5
Poster 56.2
Text 56.2
Person 42.2

Clarifai
created on 2019-06-05

people 98.5
picture frame 98
museum 97.8
collage 97.3
exhibition 97
blank 95
nature 94.3
no person 94.3
painting 94.1
landscape 93.6
album 93.3
print 92.8
desktop 92.6
grass 92.4
man 92.2
adult 92.2
group 91.1
many 90.8
moment 90.7
art 88.9

Imagga
created on 2019-06-05

blackboard 100
grunge 55.3
vintage 48
old 46
frame 46
retro 41.8
texture 41
border 38.9
antique 37.2
damaged 32.4
dirty 31.6
paper 30.6
empty 30.1
aged 29.9
grungy 28.5
structure 28.4
blank 28.3
film 27
design 27
material 26.8
ancient 24.2
rough 23.7
text 23.6
art 23.5
wall 23.1
pattern 22.6
textured 21.9
graphic 21.9
black 20.4
space 20.2
rusty 20
frames 19.5
paint 19
parchment 18.2
weathered 18
messy 16.4
element 15.7
photographic 15.7
rust 15.4
edge 15.4
negative 15.2
scratch 14.6
stains 14.6
dirt 14.3
brown 14
photograph 13.8
album 13.6
your 13.5
spot 13.4
old fashioned 13.3
digital 13
grain 12.9
historic 12.8
menu 12.7
slide 12.7
billboard 12.6
crumpled 12.6
collage 12.5
decoration 12.4
backdrop 12.4
wallpaper 12.3
computer 12
card 11.9
noisy 11.8
designed 11.8
layered 11.8
mess 11.8
noise 11.7
layer 11.6
decay 11.6
mask 11.5
worn 11.5
backgrounds 11.4
poster 11.3
camera 11.1
highly 10.8
scratches 10.8
broad 10.8
grime 10.7
tracery 10.7
ragged 10.7
fracture 10.7
succulent 10.7
movie 10.7
detailed 10.6
stained 10.6
obsolete 10.5
photography 10.4
screen 10.4
page 10.2
template 10.1
dark 10
brass 10
mottled 9.7
strip 9.7
memorial 9.6
color 9.5
letter 9.2
sign 9
signboard 9
style 8.9
overlay 8.9
instant 8.8
surface 8.8
crease 8.8
faded 8.7
sepia 8.7
crack 8.7
nobody 8.5
sheet 8.5
wood 8.3
burned 7.8
memory 7.7
decorative 7.5
fare 7.4
note 7.4
detail 7.2
stone 7.2
drawing 7.1

Google
created on 2019-06-05

Photograph 96.9
Snapshot 84.3
Photography 72.5
Photograph album 71.4
Room 71.4
Photographic paper 70.5
Picture frame 69.4
Collection 63.8
Album 60.3
History 57.6
Black-and-white 56.4
Interior design 51.5
Art 50.2

Microsoft
created on 2019-06-05

person 92.1
picture frame 65.3
different 37

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.9%
Disgusted 49.5%
Sad 49.9%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Calm 49.5%
Angry 50.3%
Sad 49.7%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50%
Calm 49.6%
Sad 50.1%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50.1%
Calm 49.7%
Confused 49.5%
Disgusted 49.5%
Happy 49.8%
Angry 49.6%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Sad 49.7%
Surprised 49.5%
Disgusted 49.6%
Angry 50%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 50.2%
Happy 49.7%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Calm 49.5%
Happy 50.5%

AWS Rekognition

Age 60-80
Gender Female, 50.1%
Sad 50.1%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Angry 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.9%
Confused 49.5%
Sad 50%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.8%
Calm 49.8%
Surprised 49.5%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Calm 50.2%
Disgusted 49.5%
Sad 49.5%
Angry 49.5%
Happy 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Sad 50%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Calm 49.9%
Sad 49.8%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Surprised 49.5%
Sad 49.8%
Calm 49.5%
Happy 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Sad 49.7%
Calm 49.6%
Angry 49.9%
Disgusted 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50%
Happy 49.6%
Disgusted 49.8%
Confused 49.6%
Surprised 49.5%
Sad 49.8%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.5%
Sad 50%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%
Happy 49.8%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Calm 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.7%
Confused 49.6%
Happy 49.8%
Sad 49.7%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.7%
Sad 49.7%
Confused 49.8%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Sad 50.2%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Angry 49.7%
Calm 49.6%
Surprised 49.5%
Disgusted 49.6%
Happy 49.8%
Sad 49.8%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 49.6%
Disgusted 50%
Calm 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Happy 49.5%
Angry 49.7%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Angry 49.7%
Disgusted 49.6%
Surprised 49.6%
Happy 49.7%
Calm 49.7%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Surprised 49.5%
Happy 49.9%
Disgusted 49.7%
Calm 49.5%
Sad 49.9%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Surprised 49.5%
Sad 49.8%
Calm 49.5%
Happy 49.9%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 12-22
Gender Male, 50.2%
Calm 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Sad 50%
Happy 49.8%
Confused 49.5%
Calm 49.6%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%
Sad 50.2%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Surprised 49.6%
Disgusted 49.6%
Calm 49.9%
Confused 49.5%
Angry 49.6%
Sad 49.8%
Happy 49.6%

AWS Rekognition

Age 60-90
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Sad 50.2%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.5%
Sad 50.2%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 50.3%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.6%
Angry 49.5%
Sad 50.2%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 49-69
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.6%
Sad 49.8%
Surprised 49.5%
Calm 49.7%
Angry 49.8%
Happy 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Happy 49.6%
Sad 49.6%
Disgusted 49.9%
Angry 49.7%
Surprised 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Angry 49.5%
Disgusted 49.5%
Surprised 49.6%
Happy 49.6%
Calm 49.8%
Sad 49.7%
Confused 49.7%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Sad 49.6%
Disgusted 49.5%
Angry 49.9%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.5%
Sad 49.7%
Disgusted 49.5%
Angry 49.7%
Surprised 49.6%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.7%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 50%
Sad 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50%
Calm 49.8%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Sad 49.7%
Surprised 49.5%
Disgusted 49.8%

Feature analysis

Amazon

Person 98.1%
Poster 56.2%

Categories

Imagga

streetview architecture 75.6%
paintings art 23.6%

Captions

Microsoft
created on 2019-06-05

a sign for a photo 58.3%
a close up of a sign 58.2%
a sign on a wall 56%

Text analysis

Amazon

Militarg
Woodbine
Tbe
The
10g.
de
Hineh
108. The Woodbine Band.
10g. Tbe Ginls
107
FreCompay
Baron de Hineh Fund.
Baron
Band.
and
108.
Ginls
Wooxlbine
axd
Fund.
107 The Fire Their:
FreCompay axd Equipmet.
and Sehool. Wooxlbine N..J.
Sehool.
Fire
Equipmet.
Their:
N..J.
TheVolan
TheVolan Companey.
Companey.
8
nt

Google

ttlement and School, Woodbine, N.J Baron de Hirsch Fund. 06 The Volanteer re (ompang. 107 The Firempans and Their Equipment, 108 109 The Guy The Woodbine Military Band.
ttlement
and
School,
Woodbine,
N.J
Baron
de
Hirsch
Fund.
06
The
Volanteer
re
(ompang.
107
Firempans
Their
Equipment,
108
109
Guy
Woodbine
Military
Band.