Human Generated Data

Title

Untitled (display for Cheatham's Mill feed)

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, 4.2002.6717

Human Generated Data

Title

Untitled (display for Cheatham's Mill feed)

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, 4.2002.6717

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Interior Design 95.5
Indoors 95.5
Advertisement 95.3
Poster 94.4
Human 92.1
Person 92.1
Text 90.7
Label 90.7
Person 90.5
Paper 84.7
Flyer 84.7
Brochure 84.7
Person 84.1
Person 79.9
Person 77.7
Person 77.3
Person 74.1
Collage 70.6
Transportation 67.7
Vehicle 67.7
Train 67.7
Person 60.6
Electronics 60.3
Screen 60.3
Monitor 56.4
Display 56.4
Person 45.3

Clarifai
created on 2019-11-16

no person 95.1
vector 91.4
desktop 91.2
people 90.9
movie 90.3
illustration 89.8
technology 88.9
bill 87.6
text 87.3
display 85.9
art 85.8
print 85.2
industry 84.9
vectors 84.9
equipment 84.5
monochrome 84.1
picture frame 84
World Wide Web 83
old 82
screen 79.8

Imagga
created on 2019-11-16

money 50.2
currency 45.7
packet 38.8
cash 38.4
finance 35.5
dollar 35.3
paper 33.7
business 33.4
container 33.2
banking 30.3
package 30
wealth 29.6
bank 28.7
dollars 28
hundred 26.1
bill 25.7
financial 24
exchange 21
savings 20.5
banknote 19.4
rich 18.6
bills 18.4
note 18.4
pay 17.3
stock 16.8
investment 16.5
us 16.4
envelope 16.2
device 16.2
web site 14.7
payment 14.4
notes 14.4
vintage 14.1
success 13.7
one 13.4
memory device 13.1
book 13
economy 13
banknotes 12.7
paying 12.6
save 12.3
symbol 11.4
close 11.4
product 11.3
magnetic tape 11.1
retro 10.6
finances 10.6
loan 10.5
old 10.4
cassette tape 10.3
sale 10.2
market 9.8
united 9.5
closeup 9.4
buy 9.4
pile 9.4
card 9.3
stack 9.2
sign 9
creation 8.9
franklin 8.9
newspaper 8.6
design 8.4
black 8.4
commerce 8.4
number 8.4
hand 8.4
document 8.3
pattern 8.2
stamp 8
ancient 7.8
earnings 7.8
value 7.8
states 7.7
grunge 7.7
memory 7.4
object 7.3

Google
created on 2019-11-16

Font 68.6
Technology 67.6

Microsoft
created on 2019-11-16

text 99.8
vehicle 93.2
bus 91
land vehicle 90.1
billboard 83.1
screenshot 65.1
black and white 52.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 31-47
Gender Male, 50.4%
Calm 49.6%
Disgusted 49.9%
Surprised 49.5%
Sad 49.5%
Fear 49.5%
Happy 49.9%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Male, 50.5%
Angry 50.4%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.7%
Confused 49.5%
Calm 49.7%
Sad 49.6%
Happy 49.9%
Surprised 49.5%
Fear 49.6%

AWS Rekognition

Age 34-50
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.9%
Fear 49.6%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 6-16
Gender Male, 50.5%
Disgusted 49.5%
Sad 49.5%
Fear 49.5%
Angry 49.5%
Confused 49.6%
Happy 49.5%
Calm 50.2%
Surprised 49.6%

AWS Rekognition

Age 40-58
Gender Male, 50.5%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Confused 49.5%
Sad 50.1%
Fear 49.6%

AWS Rekognition

Age 33-49
Gender Male, 50.5%
Sad 49.5%
Calm 49.7%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%
Angry 50.1%
Fear 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Happy 49.5%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 50.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Happy 49.5%
Fear 50.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.3%
Surprised 49.5%
Sad 49.5%
Calm 50.2%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%
Angry 49.6%

AWS Rekognition

Age 23-37
Gender Male, 50.5%
Calm 49.6%
Sad 49.5%
Fear 50.2%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 34-50
Gender Male, 50.3%
Angry 49.7%
Calm 49.7%
Happy 49.5%
Sad 49.7%
Fear 49.7%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 23-35
Gender Male, 50.5%
Calm 49.5%
Fear 50%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 50%

AWS Rekognition

Age 48-66
Gender Male, 50.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Fear 49.7%
Sad 49.7%
Confused 49.6%
Angry 49.8%

AWS Rekognition

Age 24-38
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.7%
Confused 49.5%
Sad 49.5%
Calm 49.5%
Happy 49.5%
Fear 50.3%
Surprised 49.5%

Feature analysis

Amazon

Person 92.1%
Train 67.7%

Categories

Imagga

text visuals 99.3%

Captions

Text analysis

Amazon

CHEATHAM'S
BURRUS
TEXO
FEEDS
CHEATHAM'S MILL CHEATHAM'S
DALLAS
WORTH
CLAIR
DALLAS FT. WORTH
MILL
FISK
RT
FT.
CLAIR RT HARDW
DISTRIBUTORS
DALLAS MXT TEXO FEEDS BURRUS DISTRIBUTORS
HARDW
SAN FENITO TEXO
TEXO TEXO
TEXU
BURRUS DISTHIENTORS
ARAIS FEEDS
SAN
FENITO
#TIMITE
ARAIS
DISTHIENTORS
Fot's
Mesfus Fot's
MXT
Mesfus
SronATAY
usFEEDs
EITe

Google

RURR TE. FEEDS us27S IN THE BAS BURE TEXO 19% TEO EED CHEATHAM'S MILL CHEATHAMS DISTRIBUTORS DSTRITORS BURRUS TEXO FEEDS BURRUS TEXO DALLAS TETH SAN BENITo DALLAS FT. WORTH PINCLATR T HARDW FISK
RURR
IN
THE
19%
TEO
EED
MILL
CHEATHAMS
TEXO
DALLAS
TETH
FT.
WORTH
T
HARDW
FISK
TE.
FEEDS
us27S
BAS
BURE
CHEATHAM'S
DISTRIBUTORS
DSTRITORS
BURRUS
SAN
BENITo
PINCLATR