Human Generated Data

Title

Untitled (men seated at banquet, Kiwanis club banner in rear)
Date

c. 1935, printed later
People

Artist: Durette Studio, 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, 4.2002.5772

Human Generated Data

Title

Untitled (men seated at banquet, Kiwanis club banner in rear)

People

Artist: Durette Studio, American 20th century

Date

c. 1935, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5772

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Chair 99.9
Furniture 99.9
Human 97.9
Person 97.9
Person 97.8
Person 97.6
Person 97.3
Crowd 95.4
Person 95.3
Person 95.2
Audience 93.2
Person 92.3
Indoors 90.9
Person 88.4
Room 87.2
Table 84.2
Tablecloth 83.4
Apparel 82.9
Clothing 82.9
Person 81.8
Coat 81.5
Suit 81.5
Overcoat 81.5
Person 81.1
Home Decor 74.9
Reception 68.1
People 65.9
Reception Room 59.5
Waiting Room 59.5
Dining Table 59.4
Person 49.7
Person 45.1

Clarifai
created on 2019-11-16

people 99.9
many 99.7
group together 99.5
group 98.9
adult 96.1
administration 95.3
leader 94
man 93.5
chair 93.4
woman 92.5
crowd 92.3
outfit 90
wear 89.5
military 89.1
audience 88.4
school 86.9
education 86
spectator 81.5
room 79.4
furniture 77.5

Imagga
created on 2019-11-16

people 34
outfit 32.7
business 31.6
room 27.8
men 26.6
classroom 25.8
hall 25.6
group 25
life 20.2
man 19.5
crowd 19.2
women 19
city 18.3
person 17.9
urban 17.5
adult 17
businessman 16.8
corporate 16.3
team 16.1
work 14.9
male 14.9
transportation 14.3
interior 14.1
silhouette 14.1
office 13.9
station 13.5
travel 13.4
teacher 13.2
professional 13
transport 12.8
singer 12.6
building 12.6
meeting 12.2
teamwork 12
indoors 11.4
musician 11.4
restaurant 11.2
window 11
chair 10.6
success 10.5
wind instrument 10.4
scene 10.4
table 10.4
journey 10.3
businesswoman 10
subway 9.9
modern 9.8
train 9.6
musical instrument 9.5
tourist 9.1
suit 9
educator 8.5
student 8.4
performer 8.4
attractive 8.4
manager 8.4
time 8.2
indoor 8.2
passenger 8.2
happy 8.1
brass 8.1
activity 8.1
worker 8
clothing 7.9
black 7.9
commuter 7.9
metro 7.9
airport 7.8
architecture 7.8
glass 7.8
public 7.8
move 7.7
walking 7.6
fashion 7.5
executive 7.4
occupation 7.3
design 7.3
world 7.3
lifestyle 7.2
job 7.1

Google
created on 2019-11-16

Photograph 95.9
Black-and-white 89.9
Snapshot 84.5
Monochrome 78.3
Room 74.4
Monochrome photography 73.3
Photography 70.6
Stock photography 67.6
Event 62.7
Style 52.5
Crowd 50.7

Microsoft
created on 2019-11-16

person 94
clothing 93
man 87.9
group 80.5
table 79.6
chair 74.1
text 72.3
furniture 66
people 61.7
black and white 53.6
line 20.8
crowd 1.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 29-45
Gender Male, 54.9%
Happy 54.4%
Confused 45%
Calm 45.4%
Angry 45.1%
Disgusted 45.1%
Surprised 45%
Fear 45%
Sad 45%

AWS Rekognition

Age 20-32
Gender Male, 54.7%
Disgusted 45.1%
Happy 54.4%
Angry 45.1%
Fear 45%
Calm 45.2%
Confused 45%
Surprised 45.1%
Sad 45%

AWS Rekognition

Age 32-48
Gender Male, 54.6%
Disgusted 45.1%
Sad 45%
Fear 45.1%
Angry 45.4%
Confused 45%
Happy 45.1%
Calm 45.1%
Surprised 54.3%

AWS Rekognition

Age 49-67
Gender Male, 54.7%
Surprised 45%
Happy 45%
Sad 45%
Fear 45%
Calm 45.1%
Confused 45%
Disgusted 45%
Angry 54.7%

AWS Rekognition

Age 49-67
Gender Male, 53.9%
Calm 53.1%
Happy 45%
Disgusted 45.2%
Surprised 45.6%
Angry 45.2%
Sad 45.3%
Fear 45.2%
Confused 45.4%

AWS Rekognition

Age 25-39
Gender Male, 54.4%
Fear 45%
Sad 45%
Happy 47.9%
Calm 51.6%
Angry 45.1%
Surprised 45.2%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 47-65
Gender Male, 54.5%
Surprised 45.2%
Sad 45.4%
Calm 48.9%
Happy 49.8%
Confused 45.4%
Disgusted 45.1%
Fear 45.1%
Angry 45.1%

AWS Rekognition

Age 32-48
Gender Male, 52.5%
Sad 46.9%
Calm 46.9%
Happy 49.5%
Surprised 45.2%
Disgusted 45.5%
Confused 45.2%
Angry 45.5%
Fear 45.3%

AWS Rekognition

Age 36-54
Gender Male, 54%
Sad 48.8%
Disgusted 45.1%
Happy 47.5%
Confused 45.2%
Fear 45.6%
Angry 45.3%
Calm 47%
Surprised 45.6%

AWS Rekognition

Age 23-37
Gender Male, 50.4%
Angry 49.6%
Sad 50.2%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Fear 49.6%
Happy 49.5%

AWS Rekognition

Age 32-48
Gender Male, 54.1%
Happy 45%
Surprised 45%
Fear 45%
Calm 50.7%
Angry 45.4%
Sad 48.5%
Confused 45.2%
Disgusted 45.1%

AWS Rekognition

Age 42-60
Gender Male, 54.3%
Happy 51.1%
Disgusted 45.1%
Angry 45.2%
Fear 45.1%
Calm 46.8%
Surprised 45.1%
Sad 46.5%
Confused 45.1%

AWS Rekognition

Age 46-64
Gender Male, 50.5%
Surprised 49.5%
Fear 49.5%
Angry 49.5%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.5%
Disgusted 49.5%

AWS Rekognition

Age 34-50
Gender Male, 54.6%
Disgusted 45.1%
Calm 54.6%
Angry 45%
Confused 45%
Fear 45%
Sad 45.1%
Surprised 45.1%
Happy 45%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Sad 50.5%
Calm 49.5%
Angry 49.5%
Fear 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 50%
Fear 49.7%
Surprised 49.5%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 41-59
Gender Male, 50.4%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%
Sad 50.2%
Calm 49.6%
Happy 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 43-61
Gender Male, 53.9%
Angry 45.6%
Calm 47.9%
Confused 45.4%
Disgusted 45%
Surprised 45.3%
Happy 45.1%
Sad 50.1%
Fear 45.6%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Angry 49.5%
Calm 49.5%
Sad 50.1%
Happy 49.7%
Fear 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 43-61
Gender Male, 50.5%
Disgusted 49.6%
Angry 49.6%
Fear 49.6%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Calm 50%
Surprised 49.5%

AWS Rekognition

Age 37-55
Gender Male, 50.4%
Calm 49.7%
Sad 50.2%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.3%
Surprised 49.5%
Angry 49.7%
Sad 49.6%
Fear 50.1%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 49-67
Gender Male, 50.5%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%

AWS Rekognition

Age 31-47
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Fear 49.5%
Calm 49.9%
Angry 49.5%
Sad 50%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 36-52
Gender Male, 50.3%
Fear 50%
Sad 49.9%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Sad 49.5%
Fear 50.4%
Angry 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 48-66
Gender Male, 50.3%
Calm 49.5%
Disgusted 49.5%
Sad 50%
Happy 49.5%
Angry 49.5%
Fear 49.8%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.2%
Confused 49.6%
Fear 49.8%
Calm 49.6%
Happy 49.5%
Sad 50%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 27-43
Gender Male, 50.3%
Confused 49.5%
Happy 49.5%
Fear 50.4%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.2%
Calm 49.5%
Fear 50.2%
Sad 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 51-69
Gender Male, 50.4%
Calm 49.7%
Disgusted 49.5%
Sad 50.2%
Happy 49.5%
Angry 49.5%
Fear 49.6%
Surprised 49.5%
Confused 49.5%

Microsoft Cognitive Services

Age 53
Gender Male

Feature analysis

Amazon

Chair 99.9%
Person 97.9%