Human Generated Data

Title

Social Settlements: Germany. Hamburg. Volksheim: Volksheim, Hamburg, Germany: Young Men's Club.
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, 3.2002.2662

Human Generated Data

Title

Social Settlements: Germany. Hamburg. Volksheim: Volksheim, Hamburg, Germany: Young Men's Club.

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, 3.2002.2662

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Military 99.7
Military Uniform 99.4
Human 99.2
Person 99.2
Person 98.9
Person 98.7
Army 98.4
Armored 98.4
People 98.4
Troop 98.4
Person 98.2
Person 97.8
Person 97.7
Person 86.6
Person 86.2
Soldier 82.8
Person 82.1
Officer 78
Person 74.5
Crowd 73
Person 62.7

Clarifai
created on 2019-06-05

no person 94.4
people 94.4
winter 93.3
indoors 89.5
snow 89
landscape 88.6
man 88.3
adult 88
wear 85.8
building 85.3
travel 84.2
architecture 82.2
one 81.1
woman 78.9
outdoors 78.7
paper 78.2
furniture 78
room 77.8
nature 76.2
business 75.3

Imagga
created on 2019-06-05

container 28.3
grunge 28.1
chandelier 27
envelope 26.4
texture 24.3
vintage 24
old 22.3
design 21.9
paper 21.4
crown 20.4
lighting fixture 20.1
antique 19
graphic 18.2
retro 18
border 17.2
decoration 17
frame 15.8
crown jewels 15.8
wallpaper 15.3
fixture 15
space 14.7
safety pin 13.9
aged 13.6
text 13.1
fastener 12.9
dirty 12.6
art 12.4
empty 12
silhouette 11.6
decay 11.6
style 11.1
floral 11.1
structure 10.9
pin 10.8
grime 10.7
material 10.7
backdrop 10.7
ancient 10.4
close 10.3
wall 10.3
glass 10.2
grain 10.1
card 9.8
mottled 9.7
fracture 9.7
pattern 9.6
damaged 9.5
rusty 9.5
blank 9.4
drawing 9.4
business 9.1
copy 8.8
decor 8.8
creative 8.8
symbol 8.7
restraint 8.7
crumpled 8.7
stain 8.6
cardboard 8.6
cold 8.6
leaf 8.6
old fashioned 8.6
flower 8.5
decorative 8.3
clean 8.3
brush 8.3
sign 8.3
backgrounds 8.1
detail 8
surface 7.9
regalia 7.9
artistic 7.8
ornament 7.8
crack 7.7
modern 7.7
hand 7.6
canvas 7.6
textures 7.6
clip 7.5
gold 7.4
light 7.3
water 7.3
school 7.2
colorful 7.2
cool 7.1
season 7
textured 7

Google
created on 2019-06-05

Photograph 96.1
Text 92.4
Snapshot 83.9
Room 71.4
Font 68.6
Adaptation 67
Stock photography 65.4
Photography 62.4
Visual arts 59.3
Album 58.2
Art 58.1
Illustration 50.4

Microsoft
created on 2019-06-05

person 99
man 75.3
clothing 73.7
several 11.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 45-66
Gender Male, 50.4%
Confused 49.5%
Calm 49.9%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Calm 49.9%
Angry 49.6%
Confused 49.5%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.5%
Angry 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Sad 49.8%
Disgusted 49.8%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Confused 49.5%
Calm 50.1%
Happy 49.5%
Surprised 49.5%
Sad 49.8%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Sad 49.9%
Surprised 49.5%
Angry 49.7%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Calm 49.5%
Sad 50.3%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%
Calm 50.3%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Sad 50.1%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Angry 49.6%
Disgusted 50%
Confused 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50%
Sad 50.1%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 49-69
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 9-14
Gender Female, 50.1%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Sad 50.1%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Angry 49.5%
Disgusted 49.5%
Sad 50.4%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 57-77
Gender Male, 50.4%
Angry 49.6%
Calm 49.9%
Sad 49.9%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-65
Gender Male, 50.4%
Angry 49.5%
Calm 50.3%
Sad 49.7%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 99.2%

Categories

Imagga

food drinks 89.8%
paintings art 5.2%
text visuals 2.4%
interior objects 2.1%

Captions

Microsoft
created on 2019-06-05

a group of people in a room 27.8%

Text analysis

Amazon

Hamburg,
Germany.
olksheim, Hamburg, Germany.
olksheim,
Young
Young Shb.
Shb.
G Se a sr-

Google

GSe aa srn Volksheim, Hamburg, Germany. Young Men's Chb
GSe
aa
srn
Volksheim,
Hamburg,
Germany.
Young
Men's
Chb