Human Generated Data

Title

Untitled (elevated view of church interior with people seated in pews and assembly filing through center)

Date

1950

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, 4.2002.9325

Human Generated Data

Title

Untitled (elevated view of church interior with people seated in pews and assembly filing through center)

People

Artist: Martin Schweig, American 20th century

Date

1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9325

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Person 91.8
Human 91.8
Paper 84.3
Clothing 83.5
Apparel 83.5
Indoors 83.2
Crowd 82.2
Person 81.8
People 81.3
Interior Design 79.6
Person 75.1
Art 71.4
Room 71.2
Person 71
Person 70.9
Person 68.1
Audience 59.9
Person 59.7
Confetti 59.6
Party 58.6
Wedding 56
Person 52.5

Clarifai
created on 2023-10-26

people 99.8
crowd 99.1
many 97.9
man 97.9
group 97.8
adult 96.7
cemetery 95.4
woman 94.6
audience 94.4
ceremony 93.7
religion 93.1
grave 92.1
child 91.3
congregation 91.1
leader 91.1
illustration 90.2
desktop 90.1
education 86.9
funeral 86.9
music 85.2

Imagga
created on 2022-01-23

sketch 38.5
drawing 38.1
grunge 35.7
texture 23.6
art 23.5
negative 21.7
representation 21.7
old 20.9
vintage 19.2
design 19.1
graphic 18.2
silhouette 18.2
film 17.1
decoration 16
frame 15.8
retro 15.6
splash 15.2
pattern 15
flower 14.7
aged 14.5
black 14.4
antique 14.1
backdrop 14
floral 13.6
paint 12.7
border 12.7
dirty 12.6
photographic paper 12.5
wallpaper 12.2
wall 12.2
structure 11.7
watercolor 11.5
surface 11.5
snow 11.4
textured 11.4
artistic 11.3
cold 11.2
decorative 10.9
style 10.4
ornament 10.3
graffito 10.1
cool 9.8
creative 9.7
close 9.7
crowd 9.6
paper 9.5
poster 9.4
light 9.4
leaf 9.3
plant 9.1
drop 9.1
material 8.9
color 8.9
water 8.7
scene 8.7
frozen 8.6
architecture 8.6
season 8.6
blank 8.6
weathered 8.5
modern 8.4
photographic equipment 8.3
city 8.3
element 8.3
painting 8.3
backgrounds 8.1
holiday 7.9
liquid 7.8
stencil 7.7
dance 7.7
winter 7.7
grungy 7.6
ice 7.4
artwork 7.3
branch 7.3
transparent 7.2

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

drawing 97.2
sketch 93.6
text 87.3
white 68.7
posing 63
group 62.9

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 19-27
Gender Male, 61.2%
Calm 57.7%
Sad 14.6%
Fear 12.4%
Confused 5.4%
Happy 4.1%
Disgusted 2.3%
Angry 2%
Surprised 1.5%

AWS Rekognition

Age 18-26
Gender Female, 92.3%
Calm 92.6%
Sad 2.5%
Happy 2.3%
Disgusted 1.3%
Confused 0.6%
Angry 0.3%
Surprised 0.2%
Fear 0.2%

AWS Rekognition

Age 23-31
Gender Male, 64.6%
Calm 39.1%
Disgusted 24%
Sad 11.2%
Happy 9%
Fear 7.3%
Angry 4.6%
Confused 3%
Surprised 1.8%

AWS Rekognition

Age 24-34
Gender Male, 98.9%
Calm 75.4%
Happy 8.4%
Sad 7.1%
Confused 5.5%
Disgusted 1.3%
Angry 1%
Surprised 0.9%
Fear 0.4%

AWS Rekognition

Age 27-37
Gender Female, 96.7%
Sad 72.3%
Calm 16.1%
Confused 6.6%
Happy 3.8%
Angry 0.5%
Fear 0.3%
Disgusted 0.2%
Surprised 0.2%

AWS Rekognition

Age 28-38
Gender Female, 57.6%
Sad 76.2%
Calm 8.4%
Angry 3.9%
Happy 3.9%
Disgusted 3.4%
Surprised 1.6%
Fear 1.4%
Confused 1.2%

AWS Rekognition

Age 23-33
Gender Female, 60.2%
Calm 72.2%
Happy 17.2%
Sad 4.3%
Angry 2.1%
Fear 1.8%
Disgusted 1.3%
Surprised 0.6%
Confused 0.4%

AWS Rekognition

Age 26-36
Gender Female, 90.6%
Calm 79.5%
Sad 11.8%
Disgusted 4.4%
Happy 1.7%
Confused 1.2%
Fear 0.7%
Angry 0.5%
Surprised 0.3%

AWS Rekognition

Age 23-31
Gender Female, 82.5%
Calm 48%
Sad 26.8%
Happy 14.7%
Confused 4.9%
Angry 2.1%
Fear 1.7%
Disgusted 1%
Surprised 0.9%

AWS Rekognition

Age 23-31
Gender Male, 99.7%
Calm 91.9%
Sad 3.8%
Confused 2.1%
Happy 1.2%
Disgusted 0.5%
Surprised 0.4%
Angry 0.2%
Fear 0.1%

AWS Rekognition

Age 29-39
Gender Male, 98.7%
Calm 53.1%
Sad 29.6%
Confused 8.8%
Happy 2.9%
Disgusted 2.3%
Angry 1.7%
Fear 1%
Surprised 0.7%

AWS Rekognition

Age 21-29
Gender Female, 95.5%
Calm 64.8%
Sad 21.4%
Confused 6.2%
Happy 4.9%
Angry 0.9%
Disgusted 0.7%
Fear 0.6%
Surprised 0.4%

AWS Rekognition

Age 23-31
Gender Female, 97.6%
Calm 91.4%
Sad 6.4%
Happy 0.9%
Fear 0.3%
Surprised 0.3%
Angry 0.2%
Confused 0.2%
Disgusted 0.2%

AWS Rekognition

Age 21-29
Gender Male, 75.9%
Calm 51.8%
Fear 21.7%
Sad 14.7%
Confused 5.3%
Happy 2.8%
Disgusted 1.7%
Angry 1.1%
Surprised 0.9%

AWS Rekognition

Age 23-33
Gender Female, 84.9%
Surprised 41.5%
Confused 23.5%
Calm 13.6%
Sad 8.2%
Fear 6.4%
Angry 3%
Happy 2.3%
Disgusted 1.6%

AWS Rekognition

Age 28-38
Gender Female, 52%
Sad 72%
Calm 13.4%
Happy 7.8%
Fear 2.8%
Disgusted 1.5%
Confused 1%
Angry 0.9%
Surprised 0.5%

AWS Rekognition

Age 35-43
Gender Male, 76.4%
Disgusted 34.9%
Sad 26.8%
Angry 15.7%
Happy 8.7%
Calm 7.2%
Fear 3.1%
Confused 1.9%
Surprised 1.8%

AWS Rekognition

Age 24-34
Gender Male, 81.2%
Calm 32.7%
Sad 25.8%
Confused 21.7%
Happy 7.3%
Angry 4.2%
Surprised 3.8%
Disgusted 3.5%
Fear 1%

AWS Rekognition

Age 28-38
Gender Male, 65.2%
Happy 60.9%
Calm 13.1%
Confused 7.9%
Angry 6.2%
Disgusted 3.9%
Fear 3.6%
Surprised 2.4%
Sad 2.1%

AWS Rekognition

Age 22-30
Gender Male, 64.3%
Fear 86.7%
Sad 8.6%
Angry 1.3%
Calm 1%
Surprised 0.9%
Disgusted 0.6%
Confused 0.5%
Happy 0.3%

AWS Rekognition

Age 21-29
Gender Male, 94.3%
Happy 51.2%
Calm 25.8%
Sad 11.9%
Confused 3.5%
Surprised 2.7%
Fear 2.2%
Disgusted 1.5%
Angry 1.2%

AWS Rekognition

Age 21-29
Gender Female, 62.8%
Calm 87.2%
Happy 9%
Sad 2%
Angry 0.6%
Confused 0.5%
Disgusted 0.3%
Fear 0.2%
Surprised 0.1%

AWS Rekognition

Age 19-27
Gender Female, 86.4%
Sad 92%
Calm 3.1%
Happy 2.2%
Angry 1%
Confused 0.8%
Fear 0.4%
Disgusted 0.3%
Surprised 0.3%

AWS Rekognition

Age 23-33
Gender Female, 55%
Calm 75%
Sad 14.3%
Confused 4.4%
Disgusted 3.3%
Happy 1.7%
Surprised 0.4%
Angry 0.4%
Fear 0.4%

AWS Rekognition

Age 21-29
Gender Male, 79.9%
Calm 89.6%
Sad 8.3%
Happy 0.8%
Confused 0.5%
Disgusted 0.3%
Angry 0.3%
Surprised 0.1%
Fear 0.1%

AWS Rekognition

Age 27-37
Gender Male, 60.1%
Fear 30.8%
Sad 27.6%
Calm 23.5%
Disgusted 4.9%
Confused 4.4%
Angry 3.5%
Surprised 2.9%
Happy 2.5%

AWS Rekognition

Age 18-24
Gender Male, 68.3%
Sad 78.9%
Fear 10.9%
Calm 7.6%
Disgusted 0.7%
Angry 0.6%
Happy 0.5%
Confused 0.5%
Surprised 0.3%

AWS Rekognition

Age 14-22
Gender Male, 64.6%
Happy 34.2%
Calm 29.7%
Sad 22.5%
Fear 9%
Confused 2.4%
Angry 1.3%
Disgusted 0.5%
Surprised 0.4%

AWS Rekognition

Age 38-46
Gender Male, 78.5%
Sad 88.6%
Calm 8.1%
Happy 2.1%
Fear 0.4%
Confused 0.3%
Angry 0.2%
Disgusted 0.1%
Surprised 0.1%

AWS Rekognition

Age 23-31
Gender Female, 57.3%
Calm 82.4%
Sad 12.7%
Happy 1.5%
Confused 1.4%
Fear 0.7%
Angry 0.5%
Disgusted 0.5%
Surprised 0.3%

AWS Rekognition

Age 25-35
Gender Female, 87.5%
Calm 55.9%
Happy 15.7%
Sad 12%
Fear 5%
Confused 3.8%
Disgusted 3%
Angry 2.9%
Surprised 1.7%

AWS Rekognition

Age 22-30
Gender Male, 87%
Fear 77%
Sad 10.8%
Calm 5.8%
Happy 2.1%
Disgusted 1.9%
Angry 1%
Confused 0.9%
Surprised 0.5%

AWS Rekognition

Age 23-31
Gender Male, 88.9%
Calm 89.7%
Sad 5%
Happy 2.2%
Confused 0.9%
Disgusted 0.7%
Surprised 0.6%
Fear 0.5%
Angry 0.4%

AWS Rekognition

Age 29-39
Gender Female, 94.7%
Happy 55.1%
Calm 14.6%
Sad 12.4%
Confused 9.1%
Fear 3.7%
Disgusted 1.8%
Surprised 1.7%
Angry 1.6%

AWS Rekognition

Age 18-26
Gender Male, 51.4%
Calm 86.9%
Sad 5.3%
Fear 2%
Angry 1.9%
Happy 1.4%
Confused 0.9%
Disgusted 0.8%
Surprised 0.7%

AWS Rekognition

Age 29-39
Gender Male, 72.5%
Calm 88.4%
Sad 4.2%
Happy 4.1%
Disgusted 1.7%
Confused 0.8%
Angry 0.3%
Surprised 0.3%
Fear 0.3%

Google Vision

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

Feature analysis

Amazon

Person 91.8%

Text analysis

Amazon

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ODM

Google

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