Human Generated Data

Title

World War II

Date

1976, printed 1984

People

Artist: Audrey Flack, American 1931 - 2024

Printer: Guy Stricherz,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Sidney and Shirley Singer, 2013.177.8

Human Generated Data

Title

World War II

People

Artist: Audrey Flack, American 1931 - 2024

Printer: Guy Stricherz,

Date

1976, printed 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Sidney and Shirley Singer, 2013.177.8

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Sweets 87
Food 87
Confectionery 87
Burger 86.7
Human 83
Person 83
Person 82.5
Bread 77.6
Person 66.8
Plant 65
Person 59.8
Goblet 57.6
Glass 57.6
Flower 55.6
Blossom 55.6
Rose 55.3

Clarifai
created on 2018-02-09

celebration 96.6
party 95.8
candle 95.4
Christmas 93.3
restaurant 91.9
decoration 91.7
desktop 91.3
alcohol 89
drink 88.3
indoors 88.3
glass 88.1
table 87
food 86.7
gift 86.5
bar 85.5
wine 85.4
horizontal 84.7
traditional 84.4
design 84.4
luxury 83.7

Imagga
created on 2018-02-09

money 28.1
currency 26
cash 23.8
packaging 23
finance 22
banknote 21.3
coins 21.2
bank 19.7
container 19
business 17
fastener 16.6
equipment 16.4
coin 16.2
device 15.7
banking 15.6
buckle 14.5
wealth 14.4
bill 14.3
financial 14.3
banknotes 13.7
close 13.7
savings 13
note 12.9
food 12.6
restraint 12.4
dollar 12.1
paper 11.8
hundred 11.6
change 11.5
table 10.5
plate 10.2
decoration 10
collection 9.9
box 9.9
restaurant 9.6
celebration 9.6
object 9.5
card 9.3
meal 9
success 8.8
symbol 8.8
bills 8.7
packet 8.6
economy 8.3
investment 8.3
gold 8.2
tray 8.2
science 8
party 7.7
dollars 7.7
lunch 7.7
set 7.7
exchange 7.6
package 7.6
sign 7.5
vintage 7.4
closeup 7.4
colorful 7.2
market 7.1

Google
created on 2018-02-09

tableware 79.5
stemware 71.2
drinkware 62.3
wine glass 60.6
still life 58.7
glass 50

Microsoft
created on 2018-02-09

several 11.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 45-63
Gender Male, 98.3%
Sad 4.9%
Calm 73.8%
Angry 3.3%
Surprised 4.5%
Confused 12.7%
Happy 0.3%
Disgusted 0.4%

AWS Rekognition

Age 35-52
Gender Male, 99.7%
Happy 10.7%
Sad 10.4%
Calm 51.4%
Confused 6.4%
Disgusted 3.5%
Angry 8.4%
Surprised 9.2%

AWS Rekognition

Age 29-45
Gender Male, 99.7%
Happy 0.2%
Calm 92.6%
Confused 1.2%
Angry 2.2%
Sad 1.9%
Disgusted 0.7%
Surprised 1.2%

AWS Rekognition

Age 26-43
Gender Male, 96.8%
Sad 0.3%
Disgusted 0.1%
Surprised 0.2%
Confused 0.5%
Angry 0.3%
Happy 0%
Calm 98.6%

AWS Rekognition

Age 26-43
Gender Female, 95.2%
Disgusted 3.4%
Sad 7.4%
Calm 55%
Surprised 12.8%
Happy 3.2%
Confused 11.3%
Angry 7%

AWS Rekognition

Age 35-52
Gender Male, 98.3%
Happy 1.2%
Surprised 5.8%
Angry 6%
Calm 28.1%
Disgusted 2.9%
Sad 47.2%
Confused 8.8%

AWS Rekognition

Age 26-43
Gender Male, 94.4%
Sad 5.5%
Angry 4.3%
Happy 5.4%
Calm 63.1%
Surprised 8.3%
Disgusted 1.4%
Confused 12%

AWS Rekognition

Age 26-43
Gender Male, 98.7%
Confused 6.5%
Sad 17.7%
Disgusted 0.8%
Happy 0.7%
Angry 3%
Surprised 8.2%
Calm 63.2%

AWS Rekognition

Age 38-59
Gender Male, 78.7%
Disgusted 0.4%
Confused 0.9%
Angry 2.4%
Surprised 1.4%
Happy 1.5%
Sad 3.5%
Calm 89.8%

Microsoft Cognitive Services

Age 38
Gender Female

Microsoft Cognitive Services

Age 40
Gender Female

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 46
Gender Female

Microsoft Cognitive Services

Age 39
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Burger 86.7%
Person 83%
Bread 77.6%
Rose 55.3%

Text analysis

Amazon

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all
to
Disasters
ou
Even in
Even in Nethermost
they
Outwardly they have
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Nethermost
Outwardly
have
pillow
Ithought
Woved
nd Warc. Woved WaiC laele
nd Warc.
.a
WaiC

Google

Hust if dil not hipe to e like the (
Hust
if
dil
not
hipe
to
e
like
the
(