Human Generated Data

Title

Untitled (nine photographs, clockwise from upper left, Earl of Tyrone; Sir ? and Lady Mackenzie; Captain Coventry; Countess of Scarbrough; Earl of Listowel; Miss Vivian an Lady A. Duff (with two unidentified men); Mr. Oswald; Lady Abercromby; center, photograph of drawing of unidentified sitter)
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, P1982.359.55

Human Generated Data

Title

Untitled (nine photographs, clockwise from upper left, Earl of Tyrone; Sir ? and Lady Mackenzie; Captain Coventry; Countess of Scarbrough; Earl of Listowel; Miss Vivian an Lady A. Duff (with two unidentified men); Mr. Oswald; Lady Abercromby; center, photograph of drawing of unidentified sitter)

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, P1982.359.55

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Collage 99.7
Advertisement 99.7
Human 99.6
Person 99.6
Person 99.5
Person 99.1
Person 97.4
Text 89.6
Person 84.5
Person 69
Person 63.2
Paper 55.1
Poster 54.3

Clarifai
created on 2018-04-19

painting 98.3
people 98.1
art 97.3
no person 96
exhibition 95.8
museum 95.4
print 94.4
indoors 94.3
illustration 93.4
room 92.7
group 92.1
architecture 91.6
displayed 90.4
decoration 90.2
travel 89.3
collection 88.3
woman 88.3
adult 87.9
man 87.7
wall 86.6

Imagga
created on 2018-04-19

bookmark 92.2
vintage 34.1
old 31.3
paper 27.4
antique 22.5
retro 22.1
mail 22
stamp 21.7
ancient 21.6
postage 18.7
letter 17.4
texture 17.4
post 17.2
grunge 17
postmark 16.7
frame 16.6
aged 16.3
cash 15.6
money 15.3
postal 13.7
door 13.6
book 13.5
currency 13.5
book jacket 13.1
philately 12.8
finance 12.7
envelope 12.6
design 12.5
art 12.4
business 12.1
wall 12
decoration 11.9
brown 11.8
traditional 11.6
jacket 11.2
architecture 10.9
collection 10.8
symbol 10.8
wallpaper 10.7
payment 10.6
pay 10.5
exchange 10.5
card 10.5
banking 10.1
religion 9.9
bank 9.8
history 8.9
pattern 8.9
worn 8.6
blank 8.6
bill 8.6
print 8.5
covering 8.4
page 8.3
cover 8.3
building 8.3
note 8.3
global 8.2
wealth 8.1
financial 8
canceled 7.9
circa 7.9
banknotes 7.8
wrapping 7.8
ornament 7.8
travel 7.7
entrance 7.7
culture 7.7
international 7.6
communication 7.6
sign 7.5
message 7.3

Google
created on 2018-04-19

photograph 95.1
collection 68.7
vintage clothing 67.7
picture frame 67.6
design 65.7
black and white 63.5
photograph album 60.3
window 52.6
collage 51.2
shelving 50.7

Microsoft
created on 2018-04-19

different 93.2
various 58.9
bunch 51.9
several 25.7
variety 14.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Sad 45.3%
Surprised 45%
Confused 45%
Disgusted 45%
Calm 54.5%
Happy 45%
Angry 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Calm 50.3%
Disgusted 49.5%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Happy 49.5%
Disgusted 49.6%
Sad 49.6%
Angry 49.8%
Calm 49.9%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 48.8%
Calm 45.3%
Happy 45.1%
Confused 45.2%
Angry 49.7%
Disgusted 45.8%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Confused 45%
Disgusted 45%
Surprised 45%
Calm 45%
Happy 45%
Sad 54.7%
Angry 45.2%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.3%
Calm 49.6%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Angry 49.7%
Happy 49.5%
Calm 49.7%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Surprised 45.4%
Angry 46.7%
Disgusted 46.4%
Sad 46.9%
Confused 45.9%
Happy 45.9%
Calm 47.7%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Calm 49.5%
Angry 49.7%
Confused 49.5%
Happy 50.3%

AWS Rekognition

Age 23-38
Gender Female, 55%
Sad 49.4%
Calm 48.5%
Angry 45.8%
Surprised 45.5%
Happy 45.2%
Confused 45.5%
Disgusted 45.2%

Microsoft Cognitive Services

Age 24
Gender Female

Feature analysis

Amazon

Person 99.6%
Poster 54.3%

Categories

Imagga

Text analysis

Amazon

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