Human Generated Data

Title

Social Settlements: Germany. Hamburg. Volksheim: Volksheim, Hamburg; Germany.: A federation of Men's Clubs, Each club in this federation is composed of men engagesd in the same occupation.

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, 3.2002.2660

Human Generated Data

Title

Social Settlements: Germany. Hamburg. Volksheim: Volksheim, Hamburg; Germany.: A federation of Men's Clubs, Each club in this federation is composed of men engagesd in the same occupation.

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, 3.2002.2660

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.6
Person 99.6
Person 98.9
Person 97
Person 96.8
Person 96.6
Person 95
Person 93.7
Crowd 90.8
Person 87.5
Military 85.8
Military Uniform 76.1
Face 75.7
Funeral 73.7
Sailor Suit 71.8
People 65.1
Parade 59.3
Brass Section 57.4
Musical Instrument 57.4
Text 56
Marching 55.5
Person 46.2

Clarifai
created on 2019-06-05

people 98.2
wear 96.7
adult 96.4
man 92.8
landscape 91.9
no person 89.8
winter 89.2
building 88.5
group 87.6
snow 87
outfit 85.6
one 85.2
travel 84.4
room 84.3
military 83.3
woman 82.9
furniture 82.2
indoors 81.5
interaction 80.8
city 80

Imagga
created on 2019-06-05

chandelier 100
lighting fixture 100
fixture 82.1
grunge 34
texture 28.5
design 24.2
vintage 22.3
antique 21.6
old 20.9
wallpaper 19.9
border 19.9
frame 19.1
dirty 19
graphic 19
pattern 18.5
art 18.2
decoration 18.1
aged 18.1
paper 16.6
retro 16.4
crown 15.7
space 15.5
cold 15.5
surface 15
snow 14.6
backgrounds 14.6
wall 14.5
paint 14.5
safety pin 14.4
text 14
ancient 13.8
backdrop 13.2
empty 12.9
winter 12.8
material 12.5
stain 12.5
damaged 12.4
rusty 12.4
grungy 12.3
drop 11.8
splash 11.6
decay 11.6
structure 11.5
textured 11.4
canvas 11.4
pin 11.3
crown jewels 11.2
grain 11.1
silhouette 10.8
grime 10.7
decor 10.6
fastener 10.5
style 10.4
black 10.2
decorative 10
color 10
cool 9.8
mottled 9.7
fracture 9.7
ink 9.6
spot 9.6
floral 9.4
light 9.4
season 9.3
water 9.3
close 9.1
rough 9.1
copy 8.8
creative 8.8
liquid 8.7
artistic 8.7
stained 8.6
wave 8.6
frozen 8.6
line 8.6
old fashioned 8.6
tree 8.5
clean 8.3
drawing 8.2
glass 8.1
transparent 8.1
wet 8
brush 7.9
faded 7.8
crumpled 7.8
messy 7.7
edge 7.7
parchment 7.7
outdoor 7.6
dirt 7.6
textures 7.6
element 7.4
cover 7.4
lines 7.2
restraint 7

Google
created on 2019-06-05

Photograph 95.3
Text 93.1
Snapshot 82.9
Adaptation 67
Room 65.7
Album 59.4
History 57.6
Art 50.2

Microsoft
created on 2019-06-05

person 98.8
man 82.4
clothing 82.1
room 48.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 49-69
Gender Male, 50.3%
Sad 50.4%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.3%
Angry 49.6%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.7%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Disgusted 49.5%
Calm 49.9%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Calm 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Sad 50.2%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.6%
Sad 49.8%
Angry 49.6%
Calm 49.9%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Male, 50.3%
Sad 49.8%
Calm 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Sad 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 50.4%
Sad 49.6%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Angry 49.7%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%
Calm 50%
Confused 49.6%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Sad 50.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Surprised 49.6%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Calm 49.5%
Sad 49.8%
Disgusted 49.7%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50%
Angry 49.6%
Calm 49.6%
Sad 49.7%
Confused 49.5%
Disgusted 49.6%
Happy 50%
Surprised 49.6%

AWS Rekognition

Age 35-53
Gender Male, 50.2%
Calm 49.6%
Angry 49.5%
Disgusted 49.7%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 60-80
Gender Male, 50.3%
Confused 49.5%
Angry 49.5%
Calm 49.6%
Disgusted 49.6%
Sad 49.7%
Happy 50.1%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.6%

Categories

Imagga

food drinks 97.9%

Captions

Microsoft
created on 2019-06-05

an old photo of a person 33.4%
old photo of a person 29.5%
an old photo of a person 28.6%

Text analysis

Amazon

Germany.
Volksheim. Hamburg, Germany.
Hamburg,
Volksheim.
Cubs
4
4 of Mons Cubs
G Se 29.1517.1
of
Mons

Google

Se 29.231r Volksheim, Hamburg, Germany. A Federaton of Mons Clubs er
Se
29.231r
Volksheim,
Hamburg,
Germany.
A
Federaton
of
Mons
Clubs
er