Human Generated Data

Title

Industrial Problems, Welfare Work: Great Britain. England. Bourneville: Cadbury Bros.: Welfare Institutions and Improved Housing: Bournville Works and Village, Bournville, England: Cocoa and Chocolate Works of Cadbury Brothers, Ltd. The Bournville Village Trust: Forwarding Shed.

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, 3.2002.2203.1

Human Generated Data

Title

Industrial Problems, Welfare Work: Great Britain. England. Bourneville: Cadbury Bros.: Welfare Institutions and Improved Housing: Bournville Works and Village, Bournville, England: Cocoa and Chocolate Works of Cadbury Brothers, Ltd. The Bournville Village Trust: Forwarding Shed.

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, 3.2002.2203.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.1
Human 99.1
Person 97.9
Person 96.9
Person 96.6
Person 96.1
Leisure Activities 95.6
Person 95.4
Person 94
Piano 88.7
Musical Instrument 88.7
Grand Piano 88.7
Wood 88.3
Person 74.6
Interior Design 72.8
Indoors 72.8
Building 71
Person 69.9
Plywood 64.9
Pianist 57.4
Performer 57.4
Musician 57.4

Clarifai
created on 2019-06-06

people 99.8
group 97.6
group together 97.4
adult 97.3
man 97
indoors 96.3
furniture 94.9
room 94.5
several 94.3
woman 93.5
many 91.5
grinder 88.5
monochrome 87.5
desk 85.6
military 84.6
four 84.6
administration 84.3
industry 83.6
vehicle 82.8
war 82.8

Imagga
created on 2019-06-06

room 37.6
old 27.8
classroom 25.6
wall 24.3
grunge 23.8
architecture 19.5
interior 19.4
texture 19.4
vintage 19
antique 18.4
paper 17.5
empty 17.2
house 15.9
building 15.8
table 15.8
ancient 15.6
aged 14.5
grungy 14.2
design 14.1
structure 14
center 13.1
dirty 12.6
chair 12.2
historic 11.9
art 11.7
frame 11.6
retro 11.5
damaged 11.4
textured 11.4
urban 11.4
home 11.3
decoration 11.2
floor 11.1
construction 11.1
sketch 11
pattern 10.9
drawing 10.7
decor 10.6
restaurant 10.4
stucco 10.4
barbershop 10.3
blank 10.3
brick 10.3
culture 10.2
space 10.1
window 10.1
rough 10
paint 10
modern 9.8
surface 9.7
brown 9.6
worn 9.5
hospital 9.4
city 9.1
industrial 9.1
hall 8.9
indoors 8.8
artistic 8.7
shop 8.7
stain 8.6
weathered 8.5
industry 8.5
travel 8.4
wallpaper 8.4
wood 8.3
history 8
material 8
furniture 8
business 7.9
glass 7.8
adult 7.7
stained 7.7
aging 7.7
old fashioned 7.6
dinner 7.6
sign 7.5
style 7.4
mercantile establishment 7.4
indoor 7.3
seat 7.3
people 7.2
metal 7.2

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

indoor 92.9
person 88.4
furniture 84.8
table 81.7
ceiling 76.8
clothing 74.8
man 64.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Surprised 49.6%
Disgusted 49.6%
Sad 49.6%
Calm 49.6%
Confused 49.6%
Angry 49.7%
Happy 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.7%
Sad 49.8%
Angry 49.7%
Surprised 49.6%
Calm 49.6%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.6%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Sad 49.5%
Disgusted 49.9%
Happy 49.6%
Confused 49.5%
Calm 49.7%
Angry 49.6%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Angry 49.6%
Calm 49.5%
Confused 49.5%
Happy 50%
Sad 49.8%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%
Sad 50.3%
Angry 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 12-22
Gender Female, 54.2%
Calm 45.1%
Confused 45.3%
Happy 45.6%
Disgusted 50.1%
Sad 47.9%
Angry 45.7%
Surprised 45.3%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Sad 50.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.1%

Categories

Imagga

interior objects 86.5%
people portraits 11.1%

Text analysis

Amazon

SHED.
FORWARDING SHED.
FORWARDING

Google

GADBURY RE FORWARDING SHED
SHED
GADBURY
RE
FORWARDING