Human Generated Data

Title

Untitled (seven albumen silver prints, center trimmed to oval, clockwise from top center, Mar Lodge, 1868; Countess of Yarmouth; Lord Sandys; Lady Alexina Duff; ? Morton; Lady Alice Sandys; center, Mrs. Marshall; verso: eight albumen silver prints, four trimmed to oval, clockwise from left, Viscount? Mrs. Musgrave(?); Earl of Stradbroke; Colonel Tower; Lady Cecily Nevill; Captain Coventry(?); Cuthbert Jacklin(?))
Date

1862-1888
People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.82

Human Generated Data

Title

Untitled (seven albumen silver prints, center trimmed to oval, clockwise from top center, Mar Lodge, 1868; Countess of Yarmouth; Lord Sandys; Lady Alexina Duff; ? Morton; Lady Alice Sandys; center, Mrs. Marshall; verso: eight albumen silver prints, four trimmed to oval, clockwise from left, Viscount? Mrs. Musgrave(?); Earl of Stradbroke; Colonel Tower; Lady Cecily Nevill; Captain Coventry(?); Cuthbert Jacklin(?))

People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903

Date

1862-1888

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.82

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Advertisement 99.9
Brochure 97.6
Flyer 97.6
Paper 97.6
Collage 97.1
Human 96.4
Person 96.4
Person 86.1
Person 81.5
Person 77.3
Poster 58.2

Clarifai
created on 2018-04-19

people 99.4
print 98.9
adult 97.1
one 96.5
illustration 94.9
retro 94.3
portrait 94.2
man 93.8
wear 92.9
vintage 91.8
war 91.3
bill 91.2
woman 90.8
military 90.6
paper 90.4
card 90.4
art 89
painting 88.7
music 88.7
administration 88.5

Imagga
created on 2018-04-19

paper 26.6
envelope 26.5
container 24.7
old 23.7
vintage 20.9
currency 19.7
art 18.2
antique 18.2
money 17.8
bookmark 17.3
cash 16.5
grunge 16.2
bank 16.1
page 15.8
texture 15.3
decoration 14.8
packet 14.6
business 14.6
finance 14.3
bill 14.3
ancient 13.8
book 13.7
culture 13.7
aged 13.6
device 13.2
retro 13.1
stamp 12.6
frame 12.5
banking 11.9
architecture 11.7
package 11.7
financial 11.6
symbol 11.4
book jacket 11.1
dollar 11.1
design 10.8
banknote 10.7
exchange 10.5
wealth 9.9
jacket 9.6
letter 9.2
investment 9.2
travel 9.1
traditional 9.1
tourism 9.1
chandelier 8.9
covering 8.7
protective covering 8.6
wall 8.5
note 8.3
gold 8.2
brown 8.1
object 8.1
holiday 7.9
lampshade 7.8
banknotes 7.8
product 7.8
payment 7.7
loan 7.7
card 7.6
worn 7.6
clock 7.6
wrapping 7.6
sign 7.5
stock 7.5
church 7.4
dirty 7.2
religion 7.2
history 7.1
lighting fixture 7.1
market 7.1

Google
created on 2018-04-19

font 63.2
picture frame 57.2
photograph album 56.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Confused 45.1%
Disgusted 45.1%
Angry 45.3%
Calm 53.6%
Sad 45.4%
Happy 45.1%
Surprised 45.4%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Male, 50.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 49.7%
Calm 50.2%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Calm 50.3%
Confused 49.5%
Angry 49.5%
Sad 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.6%
Angry 49.7%
Disgusted 49.6%
Sad 49.8%
Happy 49.6%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 12-22
Gender Male, 50.2%
Surprised 49.6%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Calm 49.6%
Confused 49.8%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Happy 49.6%
Surprised 49.6%
Sad 49.8%
Angry 49.7%
Calm 49.6%
Disgusted 49.7%
Confused 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 96.4%
Poster 58.2%

Categories

Imagga

Text analysis

Amazon

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Google

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