Human Generated Data

Title

Untitled (African American women at bake sale with bread)
Date

c. 1945, 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, 4.2002.6707

Human Generated Data

Title

Untitled (African American women at bake sale with bread)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 1945, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6707

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Human 98.2
Person 98.2
Person 97.7
Person 96
Poster 95.9
Collage 95.9
Advertisement 95.9
Person 95.6
Person 90
Person 87
Person 85
Person 84.9
Screen 82
Electronics 82
Shop 80.2
Person 79.1
Person 78.7
Monitor 78
Display 78
LCD Screen 78
Person 76.4
Person 75.3
Newsstand 70.7
Person 66.8
Billboard 56.5
Person 55.6
Person 53.8
Person 41.8

Clarifai
created on 2019-11-16

people 98.9
no person 97.7
picture frame 92.7
group 91.6
many 91.2
man 91.1
adult 90.7
illustration 90
television 88.5
print 87.1
war 85.9
vector 84.9
vehicle 84.1
desktop 83.9
bill 82.4
retro 82.3
woman 82.3
indoors 82.2
music 81.5
city 81.3

Imagga
created on 2019-11-16

electronic equipment 70.2
equipment 65
oscilloscope 59.9
finance 22.8
money 22.1
monitor 21.3
currency 20.6
business 20
technology 17.8
dollar 17.6
paper 17.2
bill 17.1
bank 16.1
cash 15.5
banking 14.7
wealth 14.4
exchange 14.3
financial 14.2
computer 13.8
hundred 13.5
design 13.5
radio 13.2
vintage 13.2
recorder 13.2
network 12.1
rich 12.1
grunge 11.9
blackboard 11.7
us 11.6
digital 11.3
radio receiver 11.3
art 11.1
board 10.8
bills 10.7
hand 10.6
dollars 10.6
screen 10.5
texture 10.4
close 10.3
receiver 10
dirty 9.9
office 9.8
web site 9.8
retro 9.8
modern 9.8
old 9.7
collage 9.6
black 9.6
system 9.5
symbol 9.4
frame 9.3
investment 9.2
data 9.1
global 9.1
pattern 8.9
menu 8.7
class 8.7
engineer 8.7
film 8.6
savings 8.4
device 8.3
sign 8.3
note 8.3
border 8.1
closeup 8.1
market 8
text 7.8
drawing 7.8
antique 7.8
your 7.7
panel 7.7
finances 7.7
hardware 7.7
electrical 7.7
tech 7.6
house 7.5
stock 7.5
map 7.5
economy 7.4
man 7.4
entertainment 7.4
color 7.2
home 7.2
working 7.1

Google
created on 2019-11-16

Photographic paper 64.4
Photography 62.4
Black-and-white 56.4
Picture frame 54.8

Microsoft
created on 2019-11-16

text 99.5
person 81.5
museum 71.8
black and white 71.7
white 67.6
screenshot 51.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Calm 50.5%
Fear 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.5%
Calm 50.2%
Angry 49.6%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.5%
Fear 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Happy 49.6%
Surprised 49.6%
Sad 49.6%
Fear 49.9%
Angry 49.8%
Disgusted 49.6%

AWS Rekognition

Age 13-23
Gender Male, 50%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.8%
Confused 50.2%

AWS Rekognition

Age 27-43
Gender Male, 50.3%
Happy 49.5%
Sad 49.7%
Angry 49.7%
Calm 49.6%
Fear 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.7%

AWS Rekognition

Age 26-40
Gender Female, 50%
Happy 49.5%
Angry 50.1%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Calm 49.6%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.1%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 50.2%
Fear 49.5%
Angry 49.5%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 26-42
Gender Male, 50.1%
Disgusted 49.5%
Calm 49.8%
Surprised 49.6%
Fear 49.6%
Happy 49.9%
Confused 49.5%
Sad 49.6%
Angry 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.1%
Calm 50.1%
Fear 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.7%

AWS Rekognition

Age 40-58
Gender Male, 50.2%
Sad 49.6%
Angry 49.6%
Happy 49.7%
Calm 49.5%
Fear 49.9%
Disgusted 49.5%
Confused 49.5%
Surprised 49.7%

AWS Rekognition

Age 11-21
Gender Female, 50%
Angry 50.2%
Happy 49.5%
Disgusted 49.5%
Fear 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Sad 49.5%

AWS Rekognition

Age 19-31
Gender Female, 50.1%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Fear 49.5%
Angry 50.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Angry 49.6%
Sad 50.3%
Calm 49.5%
Fear 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50.3%
Angry 50.3%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Sad 49.6%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 25-39
Gender Male, 50.1%
Confused 49.5%
Surprised 49.6%
Happy 49.5%
Calm 49.6%
Disgusted 50%
Sad 49.6%
Angry 49.7%
Fear 49.6%

AWS Rekognition

Age 10-20
Gender Male, 50%
Fear 49.8%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.7%
Calm 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 36-52
Gender Female, 50.1%
Angry 49.7%
Disgusted 49.6%
Fear 49.5%
Sad 50%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 46-64
Gender Female, 50.3%
Disgusted 49.7%
Happy 49.5%
Angry 49.6%
Confused 49.5%
Calm 49.6%
Fear 49.6%
Sad 49.9%
Surprised 49.6%

AWS Rekognition

Age 39-57
Gender Male, 50.1%
Fear 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Confused 50.5%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-42
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.6%
Confused 49.6%
Calm 49.8%
Fear 49.5%
Sad 49.7%
Angry 49.6%
Surprised 49.7%

AWS Rekognition

Age 26-42
Gender Female, 50.1%
Fear 49.5%
Angry 49.5%
Calm 49.7%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Sad 50%
Disgusted 49.5%

AWS Rekognition

Age 20-32
Gender Female, 50.3%
Disgusted 49.5%
Fear 49.5%
Confused 49.7%
Calm 50%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Happy 49.6%

AWS Rekognition

Age 13-23
Gender Male, 50.1%
Confused 49.5%
Surprised 49.5%
Sad 49.8%
Disgusted 49.5%
Calm 50%
Fear 49.5%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 32-48
Gender Female, 50.1%
Calm 49.6%
Sad 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.7%
Confused 49.6%
Surprised 49.9%
Disgusted 49.6%

AWS Rekognition

Age 7-17
Gender Female, 50.1%
Fear 49.5%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 49.8%
Surprised 49.5%
Happy 49.5%
Confused 49.9%

AWS Rekognition

Age 28-44
Gender Male, 50.1%
Happy 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.7%
Angry 50%
Surprised 49.5%
Calm 49.5%
Fear 49.6%

AWS Rekognition

Age 50-68
Gender Male, 50.3%
Calm 50%
Surprised 49.5%
Sad 49.8%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 40-58
Gender Male, 50.3%
Surprised 49.5%
Sad 49.6%
Confused 49.7%
Calm 49.7%
Happy 49.5%
Angry 49.9%
Fear 49.5%
Disgusted 49.6%

AWS Rekognition

Age 31-47
Gender Male, 50.3%
Fear 50.1%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 49.5%
Angry 49.7%
Surprised 49.7%

Feature analysis

Amazon

Person 98.2%

Captions

Microsoft
created on 2019-11-16

a screen shot of a store window 57.1%
a screen shot of a store 57%
a screen shot of a window 56.9%

Text analysis

Amazon

COUNCH
CALDWEA
at
10a0:&
GADA EA

Google

CALDWEIL CO COUNCL
CALDWEIL
CO
COUNCL