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, P1970.4577.1-4

Human Generated Data

Title

Untitled (contact sheet)

People

Artist: Ben Shahn, American 1898 - 1969

Date

20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.4577.1-4

Machine Generated Data

Tags

Amazon
created on 2022-01-08

Person 99.3
Human 99.3
Person 99.3
Person 95.4
Person 94.4
Person 93.1
Person 89.7
Person 89.6
Person 82.2
Person 81.9
Person 80.4
Monitor 80.4
Electronics 80.4
Screen 80.4
Display 80.4
Person 79
Person 79
Person 70.6
Person 65
Person 63.8
Person 61.1
Person 60.7
Person 44.7

Clarifai
created on 2023-10-25

negative 99.6
movie 99.5
filmstrip 98.4
slide 97.2
exposed 96.2
retro 95.8
old 94.2
screen 94
cinematography 93.8
collage 93
photograph 92.4
people 92.3
vintage 91.3
noisy 90.2
technology 88.7
art 87.4
industry 85.8
no person 85.8
dirty 85.7
man 84.5

Imagga
created on 2022-01-08

equipment 84.1
electronic equipment 54.5
sequencer 51
apparatus 41.6
technology 28.9
computer 27.6
digital 24.3
screen 21.8
amplifier 21.2
monitor 20
mixer 17.2
background 16.4
display 15.8
electronic 14.9
close 14.8
device 14.4
equalizer 14.2
camera 13.9
effects 13.3
film 13.2
hand 12.9
industry 12.8
electronics 12.3
retro 12.3
three dimensional 12.1
network 12.1
graphics 12.1
data 11.9
vintage 11.6
business 11.5
sound 11.2
old 11.1
object 11
negative 11
board 10.8
3d 10.8
collage 10.6
system 10.5
card 10.2
synthesizer 9.8
media 9.5
grunge 9.4
speed 9.2
global 9.1
music 9
design 9
closeup 8.8
hardware 8.6
cable 8.6
control 8.6
communication 8.4
studio 8.4
connection 8.2
office 8
silver 8
art 7.9
circuit 7.8
black 7.8
movie 7.7
video 7.7
your 7.7
panel 7.7
tech 7.6
frame 7.5
electronic instrument 7.4
street 7.4
aged 7.2
electronic device 7.2
information 7.1

Google
created on 2022-01-08

Musical instrument 90.3
Rectangle 82.4
Font 81.9
Guitar 81.2
Music 79.9
Display device 79.4
Electronic instrument 78.3
Display case 77.9
Audio equipment 77.1
Electronic device 75.3
Multimedia 73.3
Photographic film 68.4
Event 67.2
Advertising 65.4
Negative 65.2
Monochrome photography 64.4
Art 58.6
Room 57.5
Signage 56.4
Flat panel display 55.4

Microsoft
created on 2022-01-08

text 96.4
indoor 89.5
screenshot 87.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 24-34
Gender Male, 99%
Calm 88.1%
Sad 9.8%
Angry 0.5%
Surprised 0.4%
Confused 0.4%
Disgusted 0.4%
Fear 0.2%
Happy 0.2%

AWS Rekognition

Age 9-17
Gender Male, 77.5%
Calm 72.2%
Sad 9.8%
Fear 6.7%
Confused 3.8%
Surprised 2.2%
Happy 2.1%
Angry 1.7%
Disgusted 1.5%

AWS Rekognition

Age 18-26
Gender Male, 96.8%
Calm 96.4%
Sad 2%
Confused 0.6%
Happy 0.6%
Disgusted 0.1%
Fear 0.1%
Angry 0.1%
Surprised 0.1%

AWS Rekognition

Age 6-12
Gender Female, 85.7%
Happy 88.7%
Calm 7.6%
Sad 1%
Surprised 0.8%
Angry 0.7%
Disgusted 0.5%
Fear 0.4%
Confused 0.3%

AWS Rekognition

Age 18-24
Gender Male, 98.8%
Happy 98.2%
Sad 1.1%
Fear 0.3%
Calm 0.2%
Disgusted 0.1%
Angry 0.1%
Surprised 0.1%
Confused 0%

AWS Rekognition

Age 19-27
Gender Male, 96.5%
Disgusted 57.4%
Sad 19.5%
Fear 5.7%
Calm 4.1%
Surprised 3.7%
Angry 3.6%
Happy 3.3%
Confused 2.6%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Sad 80.3%
Calm 15.8%
Surprised 1%
Confused 0.9%
Happy 0.9%
Angry 0.5%
Disgusted 0.3%
Fear 0.2%

AWS Rekognition

Age 33-41
Gender Female, 89.4%
Calm 83.7%
Sad 9.4%
Fear 1.9%
Surprised 1.4%
Confused 1.3%
Disgusted 1.1%
Happy 0.7%
Angry 0.6%

AWS Rekognition

Age 22-30
Gender Male, 87.3%
Calm 75.8%
Happy 16.9%
Sad 3.9%
Confused 1.2%
Angry 0.7%
Surprised 0.6%
Disgusted 0.6%
Fear 0.4%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Calm 71.8%
Happy 16.9%
Angry 4.1%
Sad 3.5%
Disgusted 1.2%
Fear 1.1%
Surprised 0.8%
Confused 0.5%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 98.3%
Sad 0.9%
Happy 0.3%
Confused 0.2%
Surprised 0.2%
Disgusted 0.1%
Angry 0.1%
Fear 0%

AWS Rekognition

Age 16-24
Gender Male, 99.9%
Happy 45%
Calm 39.9%
Angry 5.9%
Sad 5.7%
Confused 1.2%
Surprised 1.2%
Fear 0.5%
Disgusted 0.5%

AWS Rekognition

Age 16-24
Gender Male, 99.8%
Calm 46.7%
Surprised 23.8%
Sad 18.5%
Angry 5.7%
Confused 1.8%
Disgusted 1.3%
Happy 1.1%
Fear 1.1%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Sad 54.3%
Happy 23.2%
Angry 6.1%
Calm 5.9%
Surprised 4.4%
Confused 2.4%
Fear 1.9%
Disgusted 1.8%

AWS Rekognition

Age 11-19
Gender Male, 77.6%
Calm 93.9%
Happy 1.7%
Fear 1.6%
Sad 1%
Angry 0.5%
Confused 0.4%
Disgusted 0.4%
Surprised 0.4%

AWS Rekognition

Age 6-16
Gender Male, 98.8%
Calm 52.6%
Sad 34.5%
Angry 5%
Happy 3.5%
Fear 1.8%
Confused 1.4%
Disgusted 0.6%
Surprised 0.6%

AWS Rekognition

Age 7-17
Gender Male, 99.6%
Calm 76.2%
Happy 15.7%
Angry 2.9%
Sad 2.7%
Confused 1.4%
Surprised 0.4%
Fear 0.4%
Disgusted 0.3%

AWS Rekognition

Age 12-20
Gender Male, 99.8%
Calm 85.6%
Angry 4.6%
Sad 3.6%
Happy 2.9%
Fear 1.3%
Disgusted 0.7%
Confused 0.7%
Surprised 0.6%

AWS Rekognition

Age 18-26
Gender Male, 95.3%
Calm 94.3%
Sad 2.3%
Angry 1.9%
Confused 0.7%
Surprised 0.4%
Happy 0.2%
Disgusted 0.2%
Fear 0.1%

Feature analysis

Amazon

Person 99.3%
Monitor 80.4%

Text analysis

Amazon

20
22
21
23
FILM
SUPER
MAN
SAFETY FILM
SUPER XX
11:
SAFETY
XX
22A+
11: b
b

Google

| NVW SAFETYA FILM SUPER XX 20 22
|
NVW
SAFETYA
FILM
SUPER
XX
20
22