Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.
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, 3.2002.2881

Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.

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, 3.2002.2881

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Advertisement 92.1
Poster 92.1
Collage 92.1
Person 90.6
Human 90.6
Person 88.6
Person 82.5
Art 78
Person 75.3
Person 72.5
Person 70.5
Person 68.3
Text 66.1
Drawing 63.4
Paper 62.3
Archaeology 62.3
People 55.2
Wall 55.1
Person 42.7

Clarifai
created on 2019-06-05

no person 97.9
art 92.7
print 91.4
illustration 90.7
outdoors 88.7
retro 88.4
dirty 88.2
nature 87.2
desktop 87.1
painting 87.1
winter 87
paper 86
snow 85.3
old 84.3
vintage 83.2
empty 81.9
travel 81.8
ancient 81
architecture 80.1
water 80

Imagga
created on 2019-06-05

grunge 48.6
texture 38.9
old 37.6
vintage 35.6
envelope 33.4
antique 33.1
aged 29
wall 27.6
retro 25.4
container 24.7
ancient 24.2
pattern 23.3
dirty 21.7
frame 21.7
snow 21.6
paper 21.2
grungy 20.9
textured 20.2
wallpaper 19.9
drawing 19.7
surface 19.4
border 19
material 18.8
sketch 18.7
rough 17.3
stained 17.3
aging 17.3
paint 17.2
damaged 17.2
blank 17.2
canvas 17.1
design 16.4
structure 15.5
grain 14.8
space 14.7
worn 14.3
empty 13.7
art 13.3
weathered 13.3
backgrounds 13
black 12.6
torn 12.6
parchment 12.5
dirt 12.4
rusty 12.4
representation 12.4
text 12.2
color 11.7
decay 11.6
stain 11.5
old fashioned 11.4
decoration 11.1
brown 11
graphic 10.9
decorative 10.9
backdrop 10.7
crumpled 10.7
messy 10.6
spot 10.6
obsolete 10.5
atlas 10.2
winter 10.2
gray 9.9
grime 9.8
burnt 9.7
close 9.7
landscape 9.7
detail 9.7
cardboard 9.6
dark 9.2
map 9
stone 8.9
ragged 8.8
fracture 8.8
crack 8.7
artistic 8.7
scene 8.7
architecture 8.6
history 8.1
cool 8
distressed 7.9
graffito 7.8
season 7.8
stains 7.8
ink 7.7
textures 7.6
page 7.4
document 7.4
cover 7.4
stucco 7.4
historic 7.3
world 7.2
transparent 7.2
seasonal 7

Google
created on 2019-06-05

Text 95.5
Art 78.1
Font 75
Drawing 74.2
Paper 72.3
Illustration 70.1
Modern art 67.4
Visual arts 66.9
Collection 66.1
Paper product 63.3
Artwork 54.3
History 54.1
Exhibition 50.5
Sketch 50.1

Microsoft
created on 2019-06-05

scene 90.8
drawing 87
room 79.4
gallery 73.3
person 63.7
handwriting 61
sketch 54.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 9-14
Gender Female, 50%
Angry 49.7%
Surprised 49.5%
Confused 49.6%
Sad 50%
Disgusted 49.5%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.5%
Confused 49.6%
Sad 50%
Calm 49.8%
Happy 49.6%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.7%
Calm 49.5%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Confused 49.6%
Calm 49.6%
Happy 49.9%
Surprised 49.5%
Sad 49.8%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.3%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Sad 49.9%
Disgusted 49.5%
Calm 49.7%
Confused 49.5%
Angry 49.9%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Calm 49.6%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.9%
Happy 49.8%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Male, 50.1%
Angry 49.6%
Calm 49.5%
Sad 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.8%
Angry 49.6%
Happy 49.5%
Calm 49.8%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 50.1%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.7%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.3%
Sad 50%
Disgusted 49.7%
Confused 49.6%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Sad 49.8%
Surprised 49.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Calm 49.5%
Happy 49.6%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Disgusted 49.5%
Calm 50%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Angry 49.6%
Happy 49.5%
Surprised 49.6%
Calm 49.7%
Confused 49.7%
Sad 49.6%
Disgusted 49.8%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50.2%
Angry 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Calm 49.8%
Sad 49.7%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Confused 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 49.9%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Sad 49.9%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.6%
Angry 49.9%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Happy 49.5%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Surprised 49.5%
Disgusted 49.6%
Sad 50.1%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 49.7%
Calm 49.9%
Disgusted 49.5%
Happy 49.7%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.7%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Angry 49.5%
Sad 49.8%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Happy 49.5%
Surprised 49.6%
Angry 49.8%
Sad 49.9%
Confused 49.6%
Calm 49.5%
Disgusted 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 90.6%

Categories

Imagga

paintings art 100%

Captions

Microsoft
created on 2019-06-05

a close up of a white wall 38.1%
a room with art on the wall 38%
a room with pictures on the wall 37.9%

Text analysis

Amazon

Neighborhood
House,
Chicago,
Neighborhood House, Chicago, Il.
Neighbors
Lithle
Womans
Il.
Lithle Womans Chab
Little Neighbors
Prenie
Chab
G S 193321.9
Little

Google

G S a.33-3 9 Neighborhood House, Chicago,, Ill. Little Neighbors Lile Womens Club
G
S
a.33-3
9
Neighborhood
House,
Chicago,,
Ill.
Little
Neighbors
Lile
Womens
Club