Human Generated Data

Title

Untitled (large group of women at banquet tables)
Date

c. 1945
People

Artist: Robert Burian, American active 1940s-1950s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19136

Human Generated Data

Title

Untitled (large group of women at banquet tables)

People

Artist: Robert Burian, American active 1940s-1950s

Date

c. 1945

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19136

Machine Generated Data

Tags

Amazon
created on 2022-03-05

Person 94.9
Human 94.9
Person 92.5
Person 92
Indoors 91.7
Crowd 90.4
Building 89.2
Person 87.1
Room 86.6
Person 83.9
Audience 82.8
Person 82.2
Person 79.2
Person 77
Person 73.6
Person 72.4
Person 72.3
Hall 72
Factory 69.2
Cafeteria 66.9
Restaurant 66.9
Person 66
Person 63.5
Person 63.3
People 62
Person 61.4
Person 55.1
Person 49.1
Person 48.8
Person 43.7

Clarifai
created on 2023-10-22

many 99.9
people 99.9
group 99.4
crowd 97.6
group together 97.1
man 95.8
adult 95.2
administration 94.9
leader 93.3
indoors 92.3
woman 89
seat 88.2
no person 87.3
one 86.8
war 86.4
chair 85.7
audience 85.2
military 84.1
education 84
furniture 83.9

Imagga
created on 2022-03-05

city 39.1
travel 29.6
building 25.5
architecture 25.1
aerial 24.3
cityscape 23.7
urban 21.8
mixer 19.8
town 19.5
tourism 18.1
sky 17.2
landscape 17.1
buildings 17
electronic equipment 16.2
skyline 16.1
folding chair 15.4
chair 14.8
structure 14.5
equipment 13.2
landmark 12.6
center 12.6
tower 12.5
sea 12.5
panorama 12.4
famous 12.1
seat 11.8
panoramic 11.5
old 11.1
church 11.1
roof 11.1
street 11
river 10.7
night 10.7
skyscraper 10.4
tourist 10
vacation 9.8
sunset 9
downtown 8.6
cloud 8.6
modern 8.4
evening 8.4
road 8.1
new 8.1
bottle 8.1
sun 8
history 8
water 8
vessel 8
business 7.9
roofs 7.9
hall 7.9
high 7.8
scene 7.8
culture 7.7
shop 7.5
ocean 7.5
exterior 7.4
summer 7.1
scenic 7

Google
created on 2022-03-05

Product 90.7
Black 89.7
Rectangle 85.1
Style 83.8
Black-and-white 82.5
Font 81.2
Crowd 74.4
Technology 74.2
Event 73.3
Monochrome photography 71.5
Monochrome 70.3
Urban design 66.9
History 63.1
Stock photography 62.6
Art 62.5
Room 62.1
Chair 60.4
Pattern 55.6
Audience 51.7
Symmetry 51.4

Microsoft
created on 2022-03-05

person 96
text 87.8
people 76.5
white 69.7
group 67.1
crowd 61.6
building 56.1
clothing 52.9
basement 15.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 37-45
Gender Female, 62.7%
Calm 71.7%
Sad 19.9%
Confused 2.7%
Fear 1.9%
Disgusted 1.5%
Angry 1.4%
Surprised 0.4%
Happy 0.4%

AWS Rekognition

Age 37-45
Gender Female, 57.7%
Calm 57.9%
Sad 39.1%
Angry 0.9%
Confused 0.8%
Disgusted 0.7%
Surprised 0.3%
Fear 0.2%
Happy 0.1%

AWS Rekognition

Age 18-24
Gender Female, 79.4%
Sad 44.2%
Happy 30%
Calm 10.2%
Confused 7.7%
Fear 2.4%
Disgusted 2.4%
Angry 1.6%
Surprised 1.5%

AWS Rekognition

Age 23-31
Gender Male, 99.4%
Calm 92.1%
Fear 2.2%
Happy 2%
Disgusted 1%
Sad 0.9%
Confused 0.7%
Angry 0.6%
Surprised 0.5%

AWS Rekognition

Age 20-28
Gender Female, 57.4%
Calm 95.7%
Happy 2.3%
Sad 1.4%
Confused 0.3%
Fear 0.2%
Disgusted 0.1%
Angry 0%
Surprised 0%

AWS Rekognition

Age 9-17
Gender Female, 94%
Calm 55.9%
Sad 23.4%
Happy 6.5%
Angry 4.8%
Fear 4.3%
Confused 2.6%
Disgusted 1.5%
Surprised 0.9%

AWS Rekognition

Age 28-38
Gender Male, 100%
Calm 90.6%
Sad 4.6%
Happy 2.1%
Angry 0.9%
Confused 0.5%
Fear 0.5%
Surprised 0.4%
Disgusted 0.4%

AWS Rekognition

Age 23-33
Gender Female, 81.4%
Calm 84.9%
Sad 6.1%
Confused 3.5%
Happy 2.8%
Angry 1.2%
Fear 0.7%
Disgusted 0.4%
Surprised 0.4%

AWS Rekognition

Age 16-24
Gender Male, 94.6%
Calm 46.6%
Sad 20.6%
Confused 12.2%
Angry 8.1%
Disgusted 6.8%
Fear 3.1%
Happy 1.7%
Surprised 0.7%

AWS Rekognition

Age 12-20
Gender Male, 94.8%
Sad 69.2%
Calm 26.1%
Angry 1.6%
Happy 1.3%
Fear 1%
Confused 0.6%
Disgusted 0.2%
Surprised 0.1%

AWS Rekognition

Age 23-31
Gender Male, 77.2%
Calm 79.5%
Sad 12.1%
Happy 4.7%
Angry 1.2%
Fear 0.8%
Disgusted 0.8%
Confused 0.5%
Surprised 0.4%

AWS Rekognition

Age 21-29
Gender Male, 92.3%
Calm 51.3%
Sad 30.7%
Confused 8.2%
Disgusted 3%
Angry 2.7%
Happy 1.7%
Fear 1.7%
Surprised 0.8%

AWS Rekognition

Age 12-20
Gender Female, 70%
Calm 60.7%
Fear 12.2%
Sad 10.3%
Angry 7.9%
Happy 4.4%
Disgusted 2.5%
Confused 1.2%
Surprised 0.7%

AWS Rekognition

Age 48-54
Gender Female, 97.5%
Calm 78.1%
Sad 19.6%
Happy 0.5%
Angry 0.4%
Confused 0.4%
Disgusted 0.3%
Fear 0.3%
Surprised 0.3%

AWS Rekognition

Age 19-27
Gender Female, 59.2%
Sad 62.6%
Calm 20.2%
Happy 8.5%
Fear 4%
Confused 1.9%
Angry 1.3%
Disgusted 0.9%
Surprised 0.6%

AWS Rekognition

Age 16-24
Gender Male, 62.8%
Sad 45.6%
Calm 40.9%
Happy 6.2%
Fear 4.3%
Confused 1.1%
Angry 0.8%
Disgusted 0.6%
Surprised 0.5%

AWS Rekognition

Age 19-27
Gender Female, 70.2%
Calm 53.8%
Fear 36.2%
Sad 3.1%
Happy 2.7%
Confused 1.6%
Disgusted 1.5%
Angry 0.6%
Surprised 0.6%

AWS Rekognition

Age 16-24
Gender Male, 54.8%
Calm 93%
Happy 2.2%
Sad 1.9%
Confused 1.1%
Angry 0.6%
Disgusted 0.5%
Fear 0.4%
Surprised 0.3%

AWS Rekognition

Age 26-36
Gender Female, 81.9%
Calm 85.7%
Sad 7.8%
Disgusted 1.9%
Surprised 1.3%
Confused 1.3%
Angry 1%
Fear 0.7%
Happy 0.2%

AWS Rekognition

Age 0-6
Gender Female, 89.9%
Calm 65.6%
Fear 17.6%
Sad 9.3%
Surprised 4.8%
Confused 0.8%
Happy 0.8%
Angry 0.6%
Disgusted 0.6%

AWS Rekognition

Age 23-31
Gender Male, 52.6%
Calm 99%
Sad 0.7%
Confused 0.1%
Angry 0.1%
Happy 0%
Disgusted 0%
Fear 0%
Surprised 0%

AWS Rekognition

Age 25-35
Gender Female, 86.9%
Calm 88.1%
Sad 5%
Fear 3.6%
Happy 1.3%
Angry 0.8%
Disgusted 0.7%
Surprised 0.3%
Confused 0.2%

AWS Rekognition

Age 13-21
Gender Male, 64.8%
Calm 98.4%
Sad 0.8%
Happy 0.3%
Confused 0.2%
Disgusted 0.1%
Angry 0.1%
Fear 0%
Surprised 0%

AWS Rekognition

Age 40-48
Gender Male, 81.7%
Calm 88%
Sad 8.6%
Fear 1.2%
Angry 0.7%
Disgusted 0.5%
Confused 0.4%
Happy 0.4%
Surprised 0.2%

AWS Rekognition

Age 43-51
Gender Female, 93.6%
Fear 54.1%
Calm 34.7%
Sad 8.4%
Disgusted 0.9%
Happy 0.9%
Angry 0.5%
Confused 0.3%
Surprised 0.2%

AWS Rekognition

Age 23-31
Gender Female, 60.7%
Calm 80.6%
Surprised 5.3%
Fear 3%
Sad 2.8%
Angry 2.6%
Disgusted 2.4%
Happy 2.4%
Confused 0.9%

AWS Rekognition

Age 18-26
Gender Male, 56.1%
Calm 58.3%
Sad 19.7%
Confused 13.4%
Fear 2.7%
Happy 2.3%
Disgusted 1.6%
Angry 1.4%
Surprised 0.7%

AWS Rekognition

Age 18-26
Gender Female, 68.1%
Calm 80.8%
Happy 8.4%
Sad 8%
Confused 0.9%
Fear 0.7%
Angry 0.7%
Disgusted 0.3%
Surprised 0.2%

AWS Rekognition

Age 26-36
Gender Male, 96%
Calm 82.3%
Sad 13.2%
Happy 1.8%
Angry 1%
Fear 0.5%
Disgusted 0.5%
Confused 0.5%
Surprised 0.3%

AWS Rekognition

Age 21-29
Gender Male, 71.1%
Calm 68.2%
Fear 11%
Sad 10.3%
Happy 5.3%
Angry 2.1%
Disgusted 1.8%
Surprised 0.9%
Confused 0.4%

AWS Rekognition

Age 22-30
Gender Male, 66.7%
Calm 93%
Sad 5%
Confused 0.6%
Happy 0.6%
Disgusted 0.4%
Angry 0.2%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 19-27
Gender Female, 61.6%
Calm 92.1%
Sad 5%
Disgusted 1.2%
Happy 1.2%
Confused 0.2%
Surprised 0.1%
Fear 0.1%
Angry 0.1%

Feature analysis

Amazon

Person
Person 94.9%
Person 92.5%
Person 92%
Person 87.1%
Person 83.9%
Person 82.2%
Person 79.2%
Person 77%
Person 73.6%
Person 72.4%
Person 72.3%
Person 66%
Person 63.5%
Person 63.3%
Person 61.4%
Person 55.1%
Person 49.1%
Person 48.8%
Person 43.7%

Text analysis

Amazon

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