Human Generated Data

Title

Untitled (group of children and adults on stage at fashion show)

Date

1957

People

Artist: Hamblin Studio, American active 1930s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2042

Human Generated Data

Title

Untitled (group of children and adults on stage at fashion show)

People

Artist: Hamblin Studio, American active 1930s

Date

1957

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2042

Machine Generated Data

Tags

Amazon
created on 2021-12-14

Person 99.1
Human 99.1
Person 98.8
Person 98.6
Person 98.6
Person 98.4
Person 98.4
Person 98.2
Person 97.8
Person 96.1
Person 95.5
Person 94
Person 93.3
Person 92.6
Person 88.7
Person 88.1
Indoors 79.2
Room 79.2
People 76.6
Stage 75.3
Jury 64.8
Crowd 56
Person 44.2

Clarifai
created on 2023-10-25

people 99.8
group 98.5
man 97
many 95.7
woman 94.8
music 93
child 92.9
musician 92.5
uniform 92.3
crowd 92.1
group together 91.6
boy 90.5
adult 90.5
actor 88.8
singer 87.2
education 86
audience 83.9
leader 80.5
school 77.9
dancer 75.7

Imagga
created on 2021-12-14

gymnasium 54.3
athletic facility 42.7
facility 40
negative 24.1
drawing 21.1
business 19.4
film 19.2
people 18.4
design 17.4
art 14.9
photographic paper 14.1
silhouette 14.1
architecture 14
grunge 12.8
house 12.6
graphic 12.4
urban 12.2
man 12.1
group 12.1
sketch 11.8
old 11.8
male 11.3
men 11.2
symbol 10.8
businessman 10.6
life 10.5
black 10.2
person 10.1
city 10
paint 10
treasury 10
building 9.9
element 9.9
team 9.8
office 9.7
construction 9.4
photographic equipment 9.4
finance 9.3
modern 9.1
depository 9.1
human 9
pattern 8.9
women 8.7
decoration 8.7
scene 8.6
architectural 8.6
plan 8.5
portrait 8.4
web site 8.3
adult 7.9
window 7.5
shape 7.4
retro 7.4
history 7.1
professional 7.1
travel 7

Google
created on 2021-12-14

Font 77.4
Suit 73.1
Event 71.4
Monochrome 68.1
Room 66.7
Pattern 62.6
Monochrome photography 62.3
Team 61.2
Illustration 60.2
Vintage clothing 57.3
History 56.6
Rectangle 53.9
Classic 53.7
Uniform 51.6
Collection 51.2

Microsoft
created on 2021-12-14

person 96.1
text 95.7
clothing 89.8
old 80.6
posing 65.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 34-50
Gender Female, 66.3%
Fear 32.3%
Happy 31.8%
Calm 18.9%
Sad 9.7%
Angry 3.9%
Surprised 1.9%
Confused 0.9%
Disgusted 0.6%

AWS Rekognition

Age 23-35
Gender Male, 90.3%
Calm 70.1%
Happy 11%
Surprised 6.1%
Sad 4.7%
Confused 3.8%
Fear 1.7%
Disgusted 1.5%
Angry 1.1%

AWS Rekognition

Age 21-33
Gender Female, 50.2%
Calm 83.7%
Happy 6%
Sad 5.5%
Confused 3.5%
Surprised 0.5%
Angry 0.4%
Disgusted 0.3%
Fear 0.2%

AWS Rekognition

Age 21-33
Gender Male, 88.6%
Calm 66.4%
Sad 16%
Angry 5.1%
Happy 4.3%
Fear 3.4%
Confused 3%
Surprised 1%
Disgusted 1%

AWS Rekognition

Age 42-60
Gender Female, 56.8%
Happy 38.3%
Sad 37.1%
Calm 20.1%
Confused 1.3%
Fear 1.1%
Angry 0.9%
Surprised 0.6%
Disgusted 0.6%

AWS Rekognition

Age 9-19
Gender Female, 57.6%
Calm 64.1%
Happy 27.8%
Sad 7%
Confused 0.5%
Angry 0.2%
Disgusted 0.2%
Surprised 0.1%
Fear 0.1%

AWS Rekognition

Age 45-63
Gender Female, 77.7%
Sad 44.8%
Calm 24.5%
Surprised 8.7%
Happy 7.6%
Confused 6.5%
Fear 5.8%
Angry 1.5%
Disgusted 0.5%

AWS Rekognition

Age 9-19
Gender Female, 70.5%
Happy 62.6%
Calm 31.2%
Sad 4.4%
Confused 0.5%
Angry 0.4%
Fear 0.4%
Surprised 0.4%
Disgusted 0.2%

AWS Rekognition

Age 48-66
Gender Male, 74.6%
Calm 59.7%
Sad 18.9%
Happy 7.8%
Confused 4.2%
Disgusted 3.2%
Angry 2.8%
Fear 1.9%
Surprised 1.4%

AWS Rekognition

Age 14-26
Gender Male, 79.1%
Calm 75.6%
Sad 20.9%
Angry 0.8%
Confused 0.7%
Happy 0.7%
Fear 0.6%
Disgusted 0.5%
Surprised 0.3%

AWS Rekognition

Age 15-27
Gender Female, 67.1%
Calm 85.2%
Happy 11.4%
Sad 1.5%
Confused 0.6%
Angry 0.5%
Surprised 0.4%
Disgusted 0.3%
Fear 0.1%

AWS Rekognition

Age 30-46
Gender Female, 83.9%
Happy 52.3%
Calm 28.5%
Sad 11.8%
Surprised 3.2%
Confused 2.2%
Fear 0.9%
Disgusted 0.6%
Angry 0.5%

AWS Rekognition

Age 23-35
Gender Female, 82.9%
Happy 41.4%
Calm 23.8%
Disgusted 12.9%
Sad 7.5%
Fear 7%
Surprised 3.7%
Angry 2%
Confused 1.7%

AWS Rekognition

Age 39-57
Gender Female, 62.2%
Calm 39.1%
Sad 33.2%
Happy 15.8%
Disgusted 3.3%
Angry 3.1%
Confused 2.5%
Fear 2.2%
Surprised 1%

AWS Rekognition

Age 12-22
Gender Female, 72.1%
Calm 65%
Surprised 14.4%
Fear 6.6%
Sad 5.8%
Angry 5%
Happy 1.6%
Disgusted 0.8%
Confused 0.7%

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred 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 99.1%

Categories

Imagga

text visuals 94.9%
paintings art 5.1%

Text analysis

Amazon

ESs
EOD
KODVK-S0EELA