Human Generated Data

Title

Untitled (three photographs: children playing cards; seated with doll; playing board game)

Date

1948, printed later

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6789

Human Generated Data

Title

Untitled (three photographs: children playing cards; seated with doll; playing board game)

People

Artist: Harry Annas, American 1897 - 1980

Date

1948, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Collage 100
Advertisement 100
Person 99.8
Human 99.8
Person 98.9
Person 98.1
Person 97.7
Furniture 95
Person 94
Person 93.1
Poster 93
Person 78.8
Bed 71.7
Shelf 66.8
Interior Design 58.5
Indoors 58.5
Closet 56.1
Cupboard 56.1

Clarifai
created on 2019-11-16

people 99.9
group 99.6
adult 99.5
man 97.8
many 97.7
furniture 97.2
one 96.9
two 96.9
room 96.5
several 95.9
woman 95
group together 93.9
wear 93.7
music 90.5
indoors 88.7
child 86.9
three 86.8
portrait 85.6
vehicle 85.4
outfit 84.7

Imagga
created on 2019-11-16

comic book 63.6
money 25.5
print media 25.5
currency 22.4
newspaper 20.1
finance 18.6
dollar 17.6
cash 17.4
product 17.2
business 17
paper 16.4
art 16.3
wealth 16.1
creation 14.4
vintage 14
banking 13.8
grunge 13.6
dollars 13.5
symbol 13.5
financial 13.3
savings 13
design 12.9
old 12.5
bill 12.3
bank 11.6
market 11.5
retro 11.5
antique 11.2
exchange 10.5
equipment 10.4
drawing 10.1
letter 10.1
device 10
envelope 9.9
bookmark 9.8
close 9.7
black 9.7
cassette tape 9.6
pattern 9.6
card 9.3
economy 9.3
house 9.2
investment 9.2
texture 9
stamp 8.9
postmark 8.9
postage 8.8
computer 8.8
graphic 8.7
banknote 8.7
hundred 8.7
loan 8.6
communications 8.6
mail 8.6
rich 8.4
paint 8.1
painting 8.1
icon 7.9
printed 7.9
postal 7.8
ancient 7.8
debt 7.7
magnetic tape 7.7
hardware 7.7
sketch 7.6
slick 7.6
sign 7.5
one 7.5
global 7.3
detail 7.2
aged 7.2

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

text 99.8
black and white 86.2
person 79.2
clothing 56

Face analysis

Amazon

AWS Rekognition

Age 5-15
Gender Male, 54.4%
Fear 45%
Confused 45.1%
Disgusted 45%
Angry 45%
Sad 48.4%
Calm 51.3%
Happy 45%
Surprised 45%

AWS Rekognition

Age 12-22
Gender Male, 50.6%
Surprised 45.5%
Fear 46.5%
Angry 47.4%
Disgusted 45%
Sad 48.5%
Calm 46%
Happy 45.2%
Confused 45.8%

AWS Rekognition

Age 0-4
Gender Female, 54.4%
Confused 45.1%
Fear 49.4%
Calm 49%
Happy 45.1%
Sad 45.4%
Angry 45.2%
Surprised 45.7%
Disgusted 45.1%

AWS Rekognition

Age 23-37
Gender Female, 52.7%
Happy 45%
Disgusted 45.1%
Fear 46%
Calm 48.4%
Angry 45.8%
Confused 45.4%
Sad 48.6%
Surprised 45.5%

AWS Rekognition

Age 2-8
Gender Female, 53.3%
Calm 47.3%
Confused 45.4%
Fear 45.3%
Sad 50.7%
Angry 45.9%
Surprised 45.2%
Disgusted 45.1%
Happy 45%

AWS Rekognition

Age 3-11
Gender Male, 50.4%
Happy 45%
Angry 45%
Disgusted 45%
Confused 45%
Sad 54.9%
Calm 45%
Surprised 45%
Fear 45%

AWS Rekognition

Age 4-12
Gender Male, 50.4%
Happy 49.5%
Surprised 49.5%
Fear 49.5%
Calm 49.5%
Angry 49.5%
Sad 49.5%
Confused 50.3%
Disgusted 49.6%

AWS Rekognition

Age 31-47
Gender Male, 50.3%
Happy 49.5%
Sad 49.8%
Angry 49.5%
Calm 49.9%
Fear 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 5-15
Gender Female, 50.4%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Fear 49.6%
Surprised 49.5%
Confused 49.6%
Sad 50.3%

AWS Rekognition

Age 31-47
Gender Male, 50.2%
Surprised 49.5%
Sad 49.6%
Disgusted 50.3%
Calm 49.5%
Fear 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 25-39
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Angry 50.3%
Happy 49.5%
Sad 49.5%
Calm 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 1-5
Gender Male, 50.4%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Angry 49.7%
Confused 49.5%
Calm 50%

AWS Rekognition

Age 14-26
Gender Female, 50.3%
Calm 49.6%
Disgusted 49.7%
Surprised 49.5%
Fear 49.6%
Happy 49.6%
Angry 49.9%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 35-51
Gender Male, 50.4%
Surprised 49.6%
Fear 49.8%
Angry 49.5%
Disgusted 49.6%
Sad 49.8%
Calm 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.5%
Fear 49.5%
Happy 50.3%

Feature analysis

Amazon

Person 99.8%
Poster 93%

Captions

Microsoft

a black and white photo of a store 62.8%
a group of people posing for a photo in front of a store 34.1%
a group of people posing for a photo 34%

Text analysis

Amazon

MILK
PET
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