Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Warden and Associates at Coniston in Lake District. Whitweek Holiday.

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, 3.2002.2701

Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Warden and Associates at Coniston in Lake District. Whitweek Holiday.

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, 3.2002.2701

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 97
Person 97
Person 96
Person 92.3
Person 89.8
Person 88.9
Apparel 82.8
Clothing 82.8
Person 79.6
Advertisement 78.7
Person 77
Poster 76.1
Person 75.5
Person 72.8
Art 69.4
Person 68.5
Person 66.9
Collage 66.9
People 66.5
Face 65.3
Text 65.2
Outdoors 63.6
Person 63.4
Photo 61.4
Photography 61.4
Nature 56.3
Person 43.7

Clarifai
created on 2019-06-05

people 97.8
painting 96.6
art 96.6
adult 95.5
wall 93.9
no person 93.9
room 92.9
house 92.4
wear 92
group 90.9
print 90.6
vintage 90
man 89.9
illustration 88.2
old 88
building 84.8
picture frame 83.9
desktop 83.9
furniture 83.1
mammal 83

Imagga
created on 2019-06-05

envelope 49.2
web site 43.9
grunge 35.8
container 33.7
old 26.5
vintage 24.8
design 23.6
texture 23.6
retro 22.1
frame 19.4
antique 19
dirty 19
graphic 19
paper 18.6
art 17.3
aged 15.4
border 15.4
drawing 15.1
pattern 15
grungy 14.2
silhouette 14.1
element 14.1
text 13.1
structure 13
wallpaper 13
blank 12.9
card 12.8
rough 12.8
paint 12.7
decoration 12.6
space 12.4
black 12
business 11.5
letter 11
stain 10.6
style 9.6
edge 9.6
damaged 9.5
symbol 9.4
banner 9.2
building 9.1
material 8.9
sketch 8.8
textured 8.8
messy 8.7
artistic 8.7
ancient 8.6
obsolete 8.6
mail 8.6
weathered 8.5
facility 8.5
finance 8.4
decorative 8.4
color 8.3
note 8.3
template 8.3
detail 8
stamp 8
copy 8
postage 7.9
architecture 7.8
construction 7.7
wall 7.7
floral 7.7
money 7.7
dirt 7.6
worn 7.6
post 7.6
age 7.6
representation 7.6
house 7.5
city 7.5
decor 7.1
creative 7.1
modern 7

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

person 95.1
scene 92.2
gallery 89
clothing 82.9
room 74.7
picture frame 72.2
museum 68.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Sad 49.8%
Happy 49.9%
Disgusted 49.5%
Calm 49.6%
Angry 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 50.3%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 49.6%
Happy 49.9%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Sad 49.7%
Disgusted 49.7%

AWS Rekognition

Age 29-45
Gender Female, 50%
Sad 49.8%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Happy 49.7%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 26-43
Gender Female, 50%
Disgusted 49.5%
Calm 50.1%
Angry 49.7%
Sad 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50%
Calm 49.7%
Happy 49.5%
Surprised 49.5%
Sad 49.9%
Angry 49.7%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Sad 49.8%
Surprised 49.5%
Calm 49.9%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Sad 49.6%
Angry 49.7%
Calm 50.1%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Sad 49.9%
Surprised 49.5%
Disgusted 49.7%
Calm 49.6%
Happy 49.5%
Confused 49.6%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 49.7%
Calm 50%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.8%
Happy 49.5%
Angry 49.7%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Sad 50.2%
Angry 49.5%
Disgusted 49.5%
Calm 49.7%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.6%
Surprised 49.5%
Calm 49.5%
Happy 50%
Disgusted 49.7%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 38-59
Gender Male, 50%
Disgusted 49.6%
Happy 49.5%
Sad 50%
Angry 49.6%
Calm 49.7%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-23
Gender Male, 50.2%
Happy 49.7%
Surprised 49.5%
Calm 49.6%
Angry 49.9%
Confused 49.5%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Calm 49.5%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Happy 49.7%
Angry 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Sad 49.9%
Disgusted 49.6%
Calm 49.6%
Happy 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 50%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Happy 50.1%
Angry 49.6%
Calm 49.6%
Disgusted 49.5%
Sad 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Angry 49.6%
Calm 50.1%
Sad 49.6%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.6%
Disgusted 49.7%
Sad 49.9%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Confused 49.5%
Happy 49.9%
Angry 49.6%
Calm 49.6%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.1%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Sad 50.2%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Confused 49.5%
Sad 49.7%
Angry 49.6%
Disgusted 49.9%
Calm 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 1-5
Gender Female, 50.2%
Disgusted 49.5%
Calm 49.7%
Surprised 49.5%
Angry 49.6%
Sad 50%
Confused 49.6%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Calm 49.7%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 50.1%

AWS Rekognition

Age 45-65
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.2%
Confused 49.6%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.7%
Confused 49.5%
Sad 50.2%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 97%

Categories

Imagga

paintings art 99.3%

Captions

Microsoft
created on 2019-06-05

a room with art on the wall 52.7%
a picture of a room 49.6%
a room with white walls 33.1%

Text analysis

Amazon

Manchester
Art
Museum
Manchester,
and
Manchester Art Museum and University Settlement. Manchester, Eng.
University
Eng.
Settlement.
Holdoy
Drstriel
Loke
CoS
Whitwcet Holdoy
hordor
AMoCOTES
hordor OY AMoCOTES g CoS Loke Drstriel
Whitwcet
OY
g

Google

GSe 4 Manchester Art Museum and University Settlement, Manchester, Eng. Warden one Associotes of Cons ton Lake Distriel hihrek Hardoy
GSe
4
Manchester
Art
Museum
and
University
Settlement,
Manchester,
Eng.
Warden
one
Associotes
of
Cons
ton
Lake
Distriel
hihrek
Hardoy