Human Generated Data

Title

Untitled (ordination class, Holy Name College)

Date

c.1950

People

Artist: Harris & Ewing, American 1910s-1940s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.22311

Human Generated Data

Title

Untitled (ordination class, Holy Name College)

People

Artist: Harris & Ewing, American 1910s-1940s

Date

c.1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.22311

Machine Generated Data

Tags

Amazon
created on 2022-03-11

Person 91
Human 91
Person 89.5
Architecture 86.3
Building 86.3
Person 85.9
Person 82
Person 79.9
Brick 73.8
Person 66.2
Person 65.9
Crowd 63.8
Person 63.5
Pillar 62.4
Column 62.4
Dome 60
Chair 59.3
Furniture 59.3
Indoors 58.2
Girl 58
Female 58
Person 57.4
Person 56.9
Mansion 56.9
Housing 56.9
House 56.9
Person 53.2

Clarifai
created on 2023-10-22

people 99.3
many 97.9
ceremony 96.2
church 95.6
religion 95.4
group 94.3
man 93.9
crowd 92.7
choir 91.8
indoors 91.7
row 91.2
no person 89
adult 88.7
leader 88.1
group together 87.9
religious 85.3
woman 84.4
classic 84.3
audience 81.5
building 79.3

Imagga
created on 2022-03-11

radiator 58.2
architecture 50.5
mechanism 47.2
building 46.9
device 37.1
old 25.8
landmark 24.4
history 23.2
city 22.4
monument 22.4
facade 21.7
column 21.5
stone 21.5
tourism 21.4
church 21.3
cathedral 21
sculpture 19.3
statue 19.2
travel 19
religion 18.8
arch 18.5
historic 18.3
ancient 18.1
structure 17.2
famous 16.7
art 15
town 14.8
urban 14
exterior 13.8
house 13.7
historical 13.2
culture 12.8
street 12
tourist 11.8
window 11.4
light 11.4
palace 11
tower 10.7
wall 10.7
marble 10.6
detail 10.5
antique 10.4
roof 10.2
traditional 10
musical instrument 9.7
medieval 9.6
wrench 9
night 8.9
pillar 8.8
architectural 8.6
classical 8.6
construction 8.6
place 8.4
decoration 8.1
heritage 7.7
altar 7.7
memorial 7.7
faith 7.6
attraction 7.6
destination 7.5
style 7.4
symbol 7.4
ornate 7.3
square 7.2
center 7.2
wind instrument 7

Google
created on 2022-03-11

Microsoft
created on 2022-03-11

building 99.1
white 63.7
old 57.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-43
Gender Male, 99.2%
Calm 79%
Surprised 7.4%
Happy 6.3%
Angry 4%
Confused 1.2%
Disgusted 0.7%
Fear 0.7%
Sad 0.6%

AWS Rekognition

Age 23-31
Gender Male, 99.6%
Calm 68.6%
Surprised 16.7%
Happy 4.7%
Confused 3.7%
Angry 2.9%
Fear 1.7%
Disgusted 1.2%
Sad 0.4%

AWS Rekognition

Age 36-44
Gender Male, 95.9%
Happy 82.6%
Calm 9.5%
Confused 1.9%
Disgusted 1.8%
Angry 1.4%
Sad 1%
Surprised 1%
Fear 0.7%

AWS Rekognition

Age 39-47
Gender Male, 99.2%
Calm 46.9%
Surprised 16.1%
Fear 13.7%
Angry 7.1%
Disgusted 6.8%
Confused 4.7%
Happy 2.5%
Sad 2.1%

AWS Rekognition

Age 29-39
Gender Male, 92.1%
Calm 84.9%
Angry 4.9%
Confused 3.3%
Disgusted 2.5%
Happy 2.4%
Surprised 1.5%
Sad 0.4%
Fear 0.1%

AWS Rekognition

Age 29-39
Gender Female, 91.9%
Calm 97.7%
Sad 0.7%
Happy 0.5%
Confused 0.4%
Angry 0.3%
Disgusted 0.2%
Surprised 0.1%
Fear 0.1%

AWS Rekognition

Age 23-31
Gender Male, 93.5%
Calm 61.1%
Fear 10.2%
Sad 8.8%
Happy 6.6%
Disgusted 4.4%
Angry 4.3%
Confused 3.4%
Surprised 1.1%

AWS Rekognition

Age 36-44
Gender Male, 89.3%
Calm 98.6%
Disgusted 0.4%
Surprised 0.3%
Angry 0.3%
Happy 0.2%
Confused 0.1%
Fear 0.1%
Sad 0%

AWS Rekognition

Age 18-26
Gender Female, 95%
Happy 51.9%
Surprised 12.2%
Confused 11.1%
Sad 9.5%
Disgusted 6%
Angry 4.9%
Calm 3.4%
Fear 0.9%

AWS Rekognition

Age 26-36
Gender Male, 100%
Calm 95.4%
Happy 2.9%
Confused 0.5%
Disgusted 0.4%
Angry 0.3%
Sad 0.2%
Surprised 0.2%
Fear 0.1%

AWS Rekognition

Age 31-41
Gender Female, 59.9%
Calm 35.8%
Fear 26.8%
Sad 15.4%
Confused 9.9%
Happy 8.3%
Angry 1.7%
Disgusted 1.4%
Surprised 0.7%

AWS Rekognition

Age 13-21
Gender Male, 75%
Fear 85.7%
Calm 3.9%
Surprised 3.4%
Sad 3.1%
Confused 1.9%
Angry 0.8%
Disgusted 0.6%
Happy 0.5%

AWS Rekognition

Age 41-49
Gender Female, 51.1%
Calm 99.2%
Happy 0.2%
Surprised 0.2%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Sad 0%
Fear 0%

AWS Rekognition

Age 33-41
Gender Male, 99.2%
Calm 98.6%
Happy 1%
Surprised 0.1%
Confused 0.1%
Angry 0%
Disgusted 0%
Fear 0%
Sad 0%

AWS Rekognition

Age 19-27
Gender Female, 87.8%
Happy 72.1%
Fear 10.4%
Calm 6%
Surprised 4%
Disgusted 3.1%
Confused 2.6%
Angry 1%
Sad 0.7%

AWS Rekognition

Age 23-31
Gender Male, 99.5%
Calm 34.3%
Surprised 20.8%
Happy 12.3%
Confused 10.5%
Fear 8%
Angry 7.8%
Disgusted 3.2%
Sad 3.1%

AWS Rekognition

Age 20-28
Gender Female, 75.8%
Surprised 82.4%
Calm 10.9%
Happy 2.9%
Confused 1.3%
Disgusted 1%
Angry 0.8%
Fear 0.5%
Sad 0.2%

AWS Rekognition

Age 27-37
Gender Male, 98.6%
Confused 50.2%
Calm 23.3%
Fear 9.4%
Surprised 5.3%
Happy 3.4%
Sad 3.1%
Angry 2.8%
Disgusted 2.5%

AWS Rekognition

Age 40-48
Gender Female, 98%
Sad 42.3%
Happy 32%
Calm 8.3%
Surprised 6%
Disgusted 4.2%
Angry 2.7%
Fear 2.3%
Confused 2.2%

AWS Rekognition

Age 31-41
Gender Male, 96.6%
Happy 28.4%
Calm 28.3%
Surprised 21.5%
Confused 9.8%
Sad 4.6%
Disgusted 4.2%
Angry 2.8%
Fear 0.4%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Calm 73.8%
Confused 6.4%
Angry 5.5%
Surprised 5.4%
Happy 4.2%
Sad 3.2%
Disgusted 1.3%
Fear 0.2%

AWS Rekognition

Age 29-39
Gender Female, 61.4%
Happy 93.9%
Calm 2%
Fear 1.6%
Surprised 1%
Angry 0.4%
Confused 0.4%
Sad 0.4%
Disgusted 0.3%

AWS Rekognition

Age 21-29
Gender Female, 99.1%
Calm 90.1%
Surprised 2.3%
Disgusted 1.7%
Happy 1.5%
Fear 1.4%
Sad 1.1%
Confused 1.1%
Angry 0.8%

AWS Rekognition

Age 20-28
Gender Female, 99.6%
Calm 91.7%
Fear 3.7%
Angry 2.6%
Surprised 1%
Happy 0.4%
Disgusted 0.3%
Confused 0.2%
Sad 0.2%

Feature analysis

Amazon

Person
Person 91%
Person 89.5%
Person 85.9%
Person 82%
Person 79.9%
Person 66.2%
Person 65.9%
Person 63.5%
Person 57.4%
Person 56.9%
Person 53.2%

Categories

Text analysis

Amazon

KODVK-2VLEIA