Human Generated Data

Title

Untitled (large group of nuns and priests facing front of church with audience towards back)
Date

1951
People

Artist: Martin Schweig, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9355

Human Generated Data

Title

Untitled (large group of nuns and priests facing front of church with audience towards back)

People

Artist: Martin Schweig, American 20th century

Date

1951

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9355

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Clothing 99.7
Apparel 99.7
Human 98.9
Person 98.6
Person 98.5
Person 97.3
Person 97.2
Person 97
Dress 96.1
Person 95
Person 95
Robe 90.7
Fashion 90.7
Gown 89.1
Female 87.9
Person 86.8
Wedding 86.4
Person 86.3
Person 80.2
Suit 79
Overcoat 79
Coat 79
Person 74.1
Woman 73.5
Wedding Gown 72.5
People 71.5
Funeral 64.3
Photography 63.6
Photo 63.6
Bridegroom 60.7
Portrait 60.6
Face 60.6
Girl 60
Bride 58.5
Person 54.7

Clarifai
created on 2023-10-26

people 99.9
group 98.4
woman 97.2
adult 97
ceremony 96.9
man 96.1
wedding 95.9
many 95.9
child 95.3
religion 93.2
wear 91.3
leader 91.1
group together 89.6
veil 88.4
music 84.2
administration 82.7
bride 82.4
education 82.3
clergy 82.2
Communion 81.4

Imagga
created on 2022-01-23

people 24.5
man 23.5
male 23.4
person 23.1
clothing 20.5
business 20
adult 17.6
dress 15.3
room 14.7
boutique 14.3
interior 14.1
men 13.7
fan 13.3
catholic 13.3
work 12.5
day 12.5
businessman 12.3
couple 12.2
clothes 12.2
group 12.1
gown 11.6
garment 11.4
indoors 11.4
happy 11.3
modern 11.2
home 11.2
love 11
indoor 10.9
bride 10.5
groom 10.5
women 10.3
building 10.1
wedding 10.1
house 10.1
follower 10
office 9.6
life 9.6
vestment 9.4
suit 9.3
church 9.2
student 9.2
face 9.2
fashion 9
black 9
religion 9
new 8.9
happiness 8.6
architecture 8.6
corporate 8.6
portrait 8.4
professional 8.4
city 8.3
businesswoman 8.2
team 8.1
shop 8
executive 8
job 8
smiling 7.9
coat 7.9
ruler 7.8
table 7.8
crowd 7.7
old 7.7
casual 7.6
two 7.6
store 7.6
wood 7.5
spectator 7.4
window 7.4
jacket 7.4
inside 7.4
light 7.3
looking 7.2
history 7.1

Google
created on 2022-01-23

Coat 86.1
Art 78.8
Font 77.7
Vintage clothing 74.3
Event 73
Monochrome 70.8
Room 69
Classic 68.1
Monochrome photography 67.8
History 66
Stock photography 61.7
Holy places 61.7
Visual arts 61
Suit 60
Uniform 59.7
Illustration 54.9

Microsoft
created on 2022-01-23

clothing 95.1
funeral 94.6
text 89.9
person 89.1
wedding dress 85.8
standing 83.4
man 82.2
woman 80.7
bride 60.3
dress 52.1
posing 44.6
dressed 35.1
clothes 34.6

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 49-57
Gender Male, 65.2%
Calm 97.9%
Happy 1%
Sad 0.4%
Surprised 0.2%
Angry 0.2%
Disgusted 0.2%
Confused 0.1%
Fear 0%

AWS Rekognition

Age 51-59
Gender Male, 99.9%
Calm 99.9%
Confused 0%
Sad 0%
Happy 0%
Disgusted 0%
Surprised 0%
Angry 0%
Fear 0%

AWS Rekognition

Age 48-56
Gender Male, 98.2%
Calm 98.5%
Happy 0.9%
Sad 0.2%
Surprised 0.1%
Disgusted 0.1%
Confused 0.1%
Angry 0%
Fear 0%

AWS Rekognition

Age 48-56
Gender Female, 59.8%
Calm 86.9%
Sad 9.1%
Surprised 1.1%
Angry 0.8%
Disgusted 0.6%
Confused 0.6%
Fear 0.5%
Happy 0.5%

AWS Rekognition

Age 42-50
Gender Male, 99.9%
Calm 82%
Sad 15.2%
Confused 1.4%
Disgusted 0.4%
Happy 0.3%
Angry 0.3%
Surprised 0.3%
Fear 0.1%

AWS Rekognition

Age 23-33
Gender Female, 87.7%
Calm 73.2%
Sad 13.5%
Fear 5.8%
Disgusted 2.9%
Angry 1.7%
Surprised 1.6%
Confused 0.9%
Happy 0.4%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Calm 86.5%
Sad 3.9%
Confused 3.7%
Disgusted 2.8%
Happy 1.6%
Surprised 0.9%
Angry 0.3%
Fear 0.3%

AWS Rekognition

Age 36-44
Gender Female, 98.7%
Fear 97%
Confused 0.8%
Surprised 0.6%
Sad 0.6%
Calm 0.4%
Angry 0.3%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 21-29
Gender Female, 64.8%
Calm 70.6%
Sad 16.9%
Angry 4.5%
Happy 3.1%
Confused 1.3%
Disgusted 1.3%
Surprised 1.2%
Fear 1.2%

AWS Rekognition

Age 18-24
Gender Male, 97%
Calm 51.3%
Sad 26.9%
Angry 5.9%
Happy 4.8%
Surprised 4.2%
Confused 3.7%
Disgusted 2.2%
Fear 0.9%

AWS Rekognition

Age 7-17
Gender Male, 93.8%
Fear 98%
Surprised 0.7%
Confused 0.5%
Sad 0.3%
Calm 0.2%
Happy 0.1%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 26-36
Gender Female, 57.1%
Happy 55%
Calm 17.3%
Sad 15%
Confused 5.8%
Fear 2.5%
Disgusted 1.7%
Surprised 1.5%
Angry 1.3%

AWS Rekognition

Age 25-35
Gender Female, 75.6%
Calm 49.3%
Sad 28.9%
Fear 7.4%
Happy 4.4%
Angry 4.1%
Confused 2.7%
Disgusted 1.9%
Surprised 1.4%

AWS Rekognition

Age 26-36
Gender Male, 97.3%
Calm 76.4%
Happy 13.9%
Sad 3%
Angry 2.3%
Confused 1.9%
Disgusted 1.4%
Surprised 0.6%
Fear 0.4%

AWS Rekognition

Age 48-54
Gender Male, 96%
Calm 84.4%
Fear 10.2%
Sad 1.8%
Disgusted 1.4%
Confused 0.8%
Happy 0.6%
Angry 0.4%
Surprised 0.4%

AWS Rekognition

Age 20-28
Gender Female, 85.2%
Calm 60.5%
Happy 16.6%
Sad 10.7%
Confused 3.6%
Angry 3.4%
Disgusted 2.9%
Fear 1.5%
Surprised 0.7%

AWS Rekognition

Age 18-24
Gender Male, 92.1%
Calm 99.7%
Disgusted 0.1%
Sad 0.1%
Angry 0%
Confused 0%
Surprised 0%
Happy 0%
Fear 0%

AWS Rekognition

Age 18-26
Gender Male, 66.4%
Happy 47.7%
Calm 41.1%
Sad 3.2%
Surprised 2.1%
Angry 1.8%
Fear 1.6%
Disgusted 1.4%
Confused 1.2%

AWS Rekognition

Age 23-31
Gender Female, 64.1%
Disgusted 22.7%
Confused 21.2%
Calm 20.9%
Sad 12%
Surprised 10.4%
Fear 5.1%
Angry 4.8%
Happy 2.8%

AWS Rekognition

Age 13-21
Gender Female, 92.4%
Fear 94.7%
Calm 3%
Surprised 1.1%
Happy 0.3%
Disgusted 0.3%
Sad 0.3%
Confused 0.2%
Angry 0.1%

AWS Rekognition

Age 19-27
Gender Female, 55.2%
Calm 61.5%
Happy 25.8%
Sad 8.6%
Confused 1.6%
Fear 0.8%
Angry 0.8%
Surprised 0.6%
Disgusted 0.4%

AWS Rekognition

Age 21-29
Gender Female, 87.1%
Calm 87.4%
Happy 4.6%
Sad 3.6%
Fear 1.2%
Surprised 1.2%
Confused 0.7%
Angry 0.7%
Disgusted 0.6%

AWS Rekognition

Age 6-16
Gender Male, 91.9%
Fear 74.8%
Calm 14.4%
Confused 6.8%
Happy 1.2%
Sad 1.1%
Surprised 0.9%
Disgusted 0.4%
Angry 0.4%

AWS Rekognition

Age 13-21
Gender Male, 87.6%
Sad 64.8%
Confused 16.1%
Fear 11%
Calm 4.9%
Surprised 1.2%
Happy 0.8%
Disgusted 0.7%
Angry 0.5%

AWS Rekognition

Age 23-33
Gender Male, 60.5%
Calm 69.9%
Sad 14%
Angry 4.6%
Confused 4.6%
Fear 2.2%
Happy 1.9%
Disgusted 1.5%
Surprised 1.2%

AWS Rekognition

Age 21-29
Gender Male, 98.3%
Calm 74.7%
Happy 7%
Fear 6.8%
Disgusted 3.5%
Surprised 2.8%
Angry 2.1%
Sad 1.7%
Confused 1.5%

AWS Rekognition

Age 19-27
Gender Male, 75.4%
Sad 57.8%
Calm 34.6%
Confused 2.1%
Angry 1.8%
Happy 1.8%
Fear 0.8%
Surprised 0.6%
Disgusted 0.6%

AWS Rekognition

Age 35-43
Gender Female, 93.5%
Calm 53.7%
Happy 25.8%
Sad 10.7%
Surprised 2.5%
Confused 2.4%
Fear 2.2%
Angry 1.6%
Disgusted 1.2%

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

Google Vision

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

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 Likely

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 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 Unlikely
Blurred Very unlikely

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 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 98.6%

Text analysis

Amazon

S33
KODVK-EVEELA

Google

YT3 A2
YT3
A2