Human Generated Data

Title

Industrial Problems, Coöperation: Italy. Milan. Coöperative Stores: Coöperative Societies, Italy: Dressmaking workshop in the New Palace, employing over 130 seamstresses.
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, 3.2002.2115.5

Human Generated Data

Title

Industrial Problems, Coöperation: Italy. Milan. Coöperative Stores: Coöperative Societies, Italy: Dressmaking workshop in the New Palace, employing over 130 seamstresses.

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, 3.2002.2115.5

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 98.6
Person 98.6
Person 97.7
Person 95.7
Person 94.8
Person 94.4
Person 93
Clinic 92.1
Person 88.1
School 80.1
Indoors 80.1
Classroom 80.1
Room 80.1
Advertisement 71.9
Poster 71.9
Text 68.5
Person 67
Person 63.3
Person 62.3
Person 61.4
Person 58.3
Hospital 57.2
Person 42.3

Clarifai
created on 2019-06-06

people 100
group 99.9
many 99.7
adult 99.4
group together 99.1
military 98.1
man 97.9
furniture 97.3
print 96.5
vehicle 96.4
several 96.3
watercraft 96.1
leader 95.5
administration 95.3
chair 94.7
woman 91
recreation 90.4
room 88.3
illustration 87.2
war 87.1

Imagga
created on 2019-06-06

vintage 35.6
grunge 34
old 32
retro 30.3
drawing 30.1
paper 29.8
sketch 29.5
antique 28
aged 23.5
ancient 21.6
texture 20.8
representation 19.7
design 18
art 17.7
dirty 16.3
graphic 14.6
treasury 14.6
frame 14.3
city 14.1
empty 13.7
map 13.5
facility 13.5
letter 12.8
money 12.8
business 12.8
card 12.6
material 12.5
grain 12
depository 11.9
building 11.8
pattern 11.6
decay 11.6
newspaper 11.3
blank 11.1
dollar 11.1
style 11.1
architecture 10.9
silhouette 10.8
stamp 10.7
grime 10.7
travel 10.6
mail 10.5
structure 10.5
worn 10.5
damaged 10.5
old fashioned 10.5
product 10.3
construction 10.3
page 10.2
space 10.1
wall 10
decoration 9.9
currency 9.9
postmark 9.8
history 9.8
postage 9.8
parchment 9.6
brown 9.6
grungy 9.5
finance 9.3
town 9.3
note 9.2
wallpaper 9.2
cash 9.1
creation 9.1
paint 9
urban 8.7
crumpled 8.7
text 8.7
stain 8.6
border 8.1
backgrounds 8.1
textured 7.9
artistic 7.8
fracture 7.8
torn 7.7
us 7.7
stained 7.7
flower 7.7
bill 7.6
textures 7.6
decorative 7.5
bank 7.4
man 7.4
street 7.4

Google
created on 2019-06-06

Table 80.6
Room 74.4
History 73.3
Furniture 69.1
Art 50.2

Microsoft
created on 2019-06-06

table 97.8
old 96.1
furniture 93.2
person 91.9
text 88.2
posing 76.9
clothing 76.3
chair 76.2
vintage 45

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-36
Gender Female, 52.2%
Sad 48.5%
Surprised 45.3%
Confused 45.3%
Angry 45.8%
Happy 49.1%
Calm 45.4%
Disgusted 45.7%

AWS Rekognition

Age 35-52
Gender Female, 52.6%
Confused 45.2%
Disgusted 45.7%
Calm 45.3%
Sad 47.4%
Angry 50.9%
Happy 45.3%
Surprised 45.1%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 53.4%
Confused 45.3%
Sad 46.3%
Disgusted 50.1%
Angry 47.3%
Happy 45.3%
Calm 45.4%
Surprised 45.4%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 50.6%
Disgusted 45.3%
Surprised 46.2%
Sad 49.7%
Angry 46.3%
Happy 45.3%
Confused 45.5%
Calm 46.7%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Sad 49.9%
Angry 49.9%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 54.5%
Calm 46%
Sad 48.6%
Surprised 45.7%
Angry 47.3%
Happy 45.6%
Confused 45.3%
Disgusted 46.5%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Surprised 49.5%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Disgusted 49.5%
Calm 50.1%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 54.8%
Angry 46.1%
Confused 45.1%
Calm 45.6%
Disgusted 52.1%
Happy 45.4%
Surprised 45.5%
Sad 45.2%

AWS Rekognition

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

AWS Rekognition

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

Feature analysis

Amazon

Person 98.6%
Poster 71.9%

Text analysis

Amazon

in
Palace,
the
130
over
workshop
employing
New
employing over 130 searnstregses.
tnp workshop in the New Palace,
searnstregses.
tnp

Google

Dressmaking workshop in the New Palace employing over 130 seamstresses.
Dressmaking
workshop
in
the
New
Palace
employing
over
130
seamstresses.