Human Generated Data

Title

Untitled (Japan)

Date

March 14, 1960-April 22, 1960

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.3240

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Japan)

People

Artist: Ben Shahn, American 1898 - 1969

Date

March 14, 1960-April 22, 1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.3240

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-05

Person 98.9
Person 98.6
Person 98.6
Person 98.6
Person 98.5
Person 98.4
Person 98.4
Person 98.4
Person 98.3
Person 98.3
Person 98.1
Person 97.8
Person 97.8
Person 97.8
Person 97.7
Person 97.7
Person 97.6
Person 97.3
Person 97
Person 96.8
Person 96.4
Person 96.3
Face 95.7
Head 95.7
Person 95.5
Person 92.8
Art 91.3
Collage 91.3
People 75.5
Cinema 73.5
Photo Booth 56.4
Advertisement 56.2
Electronics 56.1
Screen 56.1
Shop 55.8
Painting 55.6
Computer Hardware 55.2
Hardware 55.2
Monitor 55.2

Clarifai
created on 2018-05-10

people 99.5
group 97.8
adult 97.2
vehicle 97.2
music 95.8
many 94.1
no person 93.9
man 93.3
one 92.3
transportation system 91.6
television 90.5
group together 90.3
movie 90.3
two 88.1
woman 87.9
wear 87.2
signalise 86.4
commerce 86
screen 85.7
outfit 85

Imagga
created on 2023-10-05

shop 34.7
barbershop 31.9
television 31
building 24.6
mercantile establishment 23.1
architecture 17.9
broadcasting 17.8
case 17.3
place of business 15.4
old 14.6
window 14.5
telecommunication 13.5
house 13.4
theater 13.3
design 12.9
structure 12.7
black 12.6
monitor 12.5
business 12.1
equipment 11.2
exterior 11
city 10.8
interior 10.6
cinema 10.4
finance 10.1
bank 9.8
night 9.8
office 9.7
color 9.4
room 9.4
light 9.3
glass 9.3
3d 9.3
home 8.8
urban 8.7
modern 8.4
medium 8.4
sign 8.3
technology 8.2
people 7.8
wall 7.7
establishment 7.7
screen 7.6
horizontal 7.5
dark 7.5
retro 7.4
banking 7.3
object 7.3
digital 7.3
furniture 7.3
detail 7.2

Google
created on 2018-05-10

Microsoft
created on 2018-05-10

white 68.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 18-26
Gender Male, 99.2%
Calm 85.3%
Confused 8.6%
Surprised 7.4%
Fear 6.5%
Sad 2.5%
Happy 0.7%
Angry 0.4%
Disgusted 0.4%

AWS Rekognition

Age 22-30
Gender Male, 93.3%
Calm 78.1%
Surprised 6.8%
Sad 6.5%
Fear 6.3%
Happy 4.2%
Confused 4%
Angry 2.4%
Disgusted 1.2%

AWS Rekognition

Age 18-24
Gender Female, 100%
Happy 88.4%
Fear 8.9%
Surprised 7.2%
Sad 2.4%
Calm 0.9%
Angry 0.6%
Disgusted 0.5%
Confused 0.4%

AWS Rekognition

Age 18-24
Gender Female, 99.3%
Calm 71.3%
Happy 18.3%
Surprised 7.4%
Fear 6.1%
Confused 4.3%
Sad 2.6%
Angry 1.2%
Disgusted 1%

AWS Rekognition

Age 16-22
Gender Male, 99.8%
Calm 87.8%
Surprised 6.9%
Fear 6.4%
Sad 5.6%
Happy 1.3%
Angry 0.6%
Confused 0.5%
Disgusted 0.3%

AWS Rekognition

Age 18-26
Gender Male, 99%
Calm 99.6%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.1%
Angry 0%
Confused 0%
Disgusted 0%

AWS Rekognition

Age 23-31
Gender Male, 99.8%
Calm 91.8%
Surprised 7.4%
Fear 6.1%
Happy 2.6%
Sad 2.3%
Confused 1.2%
Disgusted 0.6%
Angry 0.4%

AWS Rekognition

Age 14-22
Gender Male, 97.9%
Sad 91.2%
Confused 20%
Calm 13.2%
Surprised 8.4%
Fear 7.9%
Angry 7.7%
Happy 5.8%
Disgusted 1.9%

AWS Rekognition

Age 29-39
Gender Female, 100%
Calm 96%
Surprised 6.4%
Fear 5.9%
Sad 2.7%
Angry 1%
Confused 0.4%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 23-31
Gender Male, 74.7%
Calm 84.8%
Surprised 7.3%
Fear 6.1%
Angry 4.6%
Sad 4.5%
Happy 1.8%
Disgusted 0.7%
Confused 0.4%

AWS Rekognition

Age 39-47
Gender Male, 99.3%
Calm 88.1%
Surprised 7.1%
Fear 6.4%
Sad 3.6%
Confused 2.3%
Angry 1.4%
Happy 1%
Disgusted 0.4%

AWS Rekognition

Age 37-45
Gender Female, 99.9%
Calm 91.4%
Surprised 9.7%
Fear 6%
Sad 2.3%
Confused 1.2%
Disgusted 0.4%
Angry 0.3%
Happy 0.1%

AWS Rekognition

Age 6-12
Gender Female, 99.9%
Fear 92.7%
Sad 16%
Surprised 7.1%
Angry 2.5%
Calm 1.1%
Happy 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Female, 99.7%
Calm 66.6%
Fear 21.3%
Surprised 7.2%
Confused 4.3%
Angry 3.1%
Sad 2.6%
Happy 0.5%
Disgusted 0.4%

AWS Rekognition

Age 19-27
Gender Male, 99.8%
Calm 92.8%
Surprised 7.7%
Fear 6.1%
Angry 2.5%
Sad 2.3%
Confused 0.5%
Disgusted 0.4%
Happy 0.4%

AWS Rekognition

Age 16-24
Gender Female, 99.9%
Fear 59.3%
Calm 41.5%
Surprised 8.8%
Sad 3%
Angry 1.7%
Disgusted 1.3%
Confused 1.1%
Happy 0.8%

AWS Rekognition

Age 30-40
Gender Female, 100%
Disgusted 45.4%
Happy 40%
Surprised 7.7%
Fear 6.4%
Confused 5.8%
Sad 3.5%
Angry 0.8%
Calm 0.7%

AWS Rekognition

Age 14-22
Gender Male, 71.5%
Calm 52.3%
Angry 32.3%
Sad 11.9%
Surprised 6.4%
Fear 6.2%
Happy 0.7%
Disgusted 0.6%
Confused 0.4%

AWS Rekognition

Age 24-34
Gender Male, 97.3%
Sad 92.7%
Calm 22%
Fear 14.6%
Angry 11.3%
Surprised 7%
Disgusted 2.8%
Happy 1.9%
Confused 1.1%

AWS Rekognition

Age 23-31
Gender Female, 99.8%
Sad 99.4%
Calm 14.2%
Disgusted 12.1%
Fear 8%
Surprised 7%
Angry 1.7%
Confused 1.7%
Happy 1.2%

AWS Rekognition

Age 18-24
Gender Male, 69.1%
Calm 93.2%
Surprised 6.7%
Fear 5.9%
Confused 2.3%
Sad 2.3%
Angry 2.2%
Happy 0.6%
Disgusted 0.2%

AWS Rekognition

Age 11-19
Gender Male, 88.7%
Sad 98.3%
Fear 14.8%
Calm 11.7%
Surprised 10.6%
Disgusted 3.5%
Angry 3.5%
Confused 3.4%
Happy 0.8%

AWS Rekognition

Age 14-22
Gender Female, 51.2%
Fear 55.9%
Calm 15%
Happy 11.5%
Sad 11.1%
Angry 7.9%
Surprised 6.6%
Confused 4.4%
Disgusted 3.7%

AWS Rekognition

Age 22-30
Gender Male, 96.8%
Calm 84.7%
Sad 15.7%
Surprised 6.3%
Fear 5.9%
Angry 0.1%
Disgusted 0.1%
Confused 0.1%
Happy 0%

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 20
Gender Male

Microsoft Cognitive Services

Age 34
Gender Male

Microsoft Cognitive Services

Age 22
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 30
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.9%

Categories

Text analysis

Amazon

DOSO