Human Generated Data

Title

Untitled (contact sheet)

Date

20th century

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.4618.1-2

Human Generated Data

Title

Untitled (contact sheet)

People

Artist: Ben Shahn, American 1898 - 1969

Date

20th century

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-01-08

Person 99.6
Human 99.6
Person 99.3
Person 99.2
Person 99.2
Person 98.6
Person 98.1
Person 96.6
Person 94
Person 93.3
Person 93
Person 86.2
Monitor 85.8
Display 85.8
Electronics 85.8
Screen 85.8
Person 83.4
Person 78.6
Person 75.3
Person 75
Person 72.5
People 67.7
Person 60.1
Person 43.8

Imagga
created on 2022-01-08

film 53.8
negative 53.2
equipment 39.1
sequencer 30.1
photographic paper 25.2
apparatus 25.1
synthesizer 20
vintage 19.8
retro 18.8
technology 18.5
grunge 17.9
electronic equipment 17.5
old 17.4
digital 17
photographic equipment 16.8
electronic instrument 16.8
strip 16.5
border 16.3
frame 15.8
black 15
camera 14.8
movie 14.6
computer 14.4
device 14.4
cinema 13.7
slide 12.7
aged 12.7
screen 12.3
keyboard instrument 12
dirty 11.7
art 11.7
collage 11.6
design 11.3
texture 11.1
entertainment 11
graphic 10.9
business 10.9
close 10.8
filmstrip 10.8
photographic 9.8
closeup 9.4
network 9.3
car 9.2
musical instrument 8.9
object 8.8
your 8.7
antique 8.7
damaged 8.6
modern 8.4
hand 8.3
city 8.3
element 8.3
rough 8.2
man 8.1
circa 7.9
noise 7.8
space 7.8
photograph 7.7
mail 7.7
card 7.6
system 7.6
roll 7.6
tech 7.6
clock 7.5
monitor 7.4
street 7.4
banner 7.4
light 7.4
freight car 7.3
speed 7.3
connection 7.3
message 7.3
global 7.3
memory 7.2
paper 7.1

Google
created on 2022-01-08

Microsoft
created on 2022-01-08

text 91.9
screenshot 81.1

Face analysis

Amazon

AWS Rekognition

Age 50-58
Gender Male, 96.3%
Happy 81.5%
Fear 11.2%
Calm 3.1%
Sad 1.9%
Surprised 0.8%
Disgusted 0.6%
Angry 0.6%
Confused 0.3%

AWS Rekognition

Age 22-30
Gender Male, 99.6%
Sad 64%
Calm 20.8%
Confused 10%
Surprised 2.2%
Fear 1%
Disgusted 0.9%
Happy 0.5%
Angry 0.5%

AWS Rekognition

Age 23-31
Gender Male, 99.2%
Calm 96%
Sad 2.1%
Angry 0.9%
Surprised 0.3%
Disgusted 0.3%
Happy 0.3%
Fear 0.1%
Confused 0.1%

AWS Rekognition

Age 4-10
Gender Male, 98.4%
Calm 38.8%
Sad 32.1%
Fear 12.8%
Angry 6.9%
Disgusted 6.1%
Confused 1.5%
Happy 1.2%
Surprised 0.8%

AWS Rekognition

Age 20-28
Gender Male, 99.8%
Calm 58.7%
Sad 34.9%
Confused 4.1%
Happy 0.6%
Angry 0.6%
Surprised 0.4%
Disgusted 0.3%
Fear 0.3%

AWS Rekognition

Age 6-14
Gender Male, 68.6%
Calm 79.7%
Sad 14.5%
Confused 3%
Angry 1.6%
Disgusted 0.4%
Fear 0.3%
Happy 0.3%
Surprised 0.3%

AWS Rekognition

Age 23-31
Gender Male, 97.8%
Calm 94.2%
Sad 4.6%
Confused 0.4%
Angry 0.3%
Disgusted 0.2%
Surprised 0.2%
Fear 0.1%
Happy 0.1%

AWS Rekognition

Age 45-53
Gender Male, 96%
Calm 41.2%
Happy 36.4%
Angry 7.4%
Sad 5.1%
Disgusted 2.7%
Confused 2.6%
Surprised 2.4%
Fear 2.2%

AWS Rekognition

Age 13-21
Gender Female, 57%
Calm 99.5%
Sad 0.1%
Confused 0.1%
Happy 0.1%
Angry 0.1%
Disgusted 0%
Surprised 0%
Fear 0%

AWS Rekognition

Age 12-20
Gender Male, 99%
Calm 82.9%
Sad 7.2%
Angry 5.3%
Confused 1.6%
Happy 1.3%
Surprised 0.6%
Fear 0.5%
Disgusted 0.4%

AWS Rekognition

Age 1-7
Gender Male, 50%
Happy 93.3%
Calm 2.3%
Surprised 1.2%
Sad 0.9%
Angry 0.8%
Confused 0.6%
Disgusted 0.5%
Fear 0.4%

AWS Rekognition

Age 13-21
Gender Female, 83.1%
Happy 50.4%
Sad 39.9%
Calm 4.1%
Surprised 1.5%
Disgusted 1.3%
Angry 1.1%
Confused 1%
Fear 0.8%

AWS Rekognition

Age 22-30
Gender Male, 79.8%
Calm 65.8%
Sad 22.3%
Angry 3.5%
Disgusted 2.5%
Confused 2.4%
Happy 1.4%
Fear 1.2%
Surprised 1.1%

AWS Rekognition

Age 29-39
Gender Male, 100%
Calm 99.6%
Sad 0.2%
Happy 0.1%
Angry 0.1%
Confused 0%
Surprised 0%
Fear 0%
Disgusted 0%

AWS Rekognition

Age 4-10
Gender Male, 95.4%
Happy 53.2%
Calm 37.6%
Confused 3.4%
Angry 2.1%
Sad 2%
Surprised 0.7%
Fear 0.5%
Disgusted 0.5%

AWS Rekognition

Age 4-12
Gender Female, 82.5%
Calm 88.4%
Sad 3%
Happy 2.4%
Confused 2.1%
Angry 1.9%
Fear 1%
Disgusted 0.6%
Surprised 0.6%

AWS Rekognition

Age 9-17
Gender Male, 79%
Calm 71.4%
Happy 10.3%
Sad 8.2%
Disgusted 2.7%
Angry 2.6%
Fear 2.2%
Surprised 1.4%
Confused 1.3%

Feature analysis

Amazon

Person 99.6%
Monitor 85.8%

Captions

Microsoft

graphical user interface, website 95.3%

Text analysis

Amazon

FILM
SAN
9
6
BAND
7
FILM SAFETY
L
SAFETY
COMMUNITY
CLASCO
CIETA' SAN Un
CIETA'
BEER
Un
BEER SINCE .
.
SINCE
MAR-GRILL

Google

PAND
Sux
IETA
SAFETYA CONMENITY PAND IETA Sux
SAFETYA
CONMENITY