Human Generated Data

Title

Dr. S. Allen Counter (1944-2017)

Date

2018

People

Artist: Stephen E. Coit, American born 1948

Sitter: Dr. Allen Counter,

Framemaker: A-street Framers,

Classification

Paintings

Credit Line

Harvard University Portrait Collection, Commissioned by the Harvard Foundation, H872

Copyright

© Stephen E. Coit, AB 1971, MBA 1977

Human Generated Data

Title

Dr. S. Allen Counter (1944-2017)

People

Artist: Stephen E. Coit, American born 1948

Sitter: Dr. Allen Counter,

Framemaker: A-street Framers,

Date

2018

Classification

Paintings

Credit Line

Harvard University Portrait Collection, Commissioned by the Harvard Foundation, H872

Copyright

© Stephen E. Coit, AB 1971, MBA 1977

Machine Generated Data

Tags

Amazon
created on 2022-05-03

Tie 100
Accessories 100
Accessory 100
Human 99.4
Person 99.4
Person 98.5
Person 97.4
Person 97.1
Person 97
Person 97
Person 96.9
Person 96.5
Person 95
Person 94.4
Suit 94.4
Clothing 94.4
Coat 94.4
Overcoat 94.4
Apparel 94.4
Crowd 93.7
Fashion 86.4
Premiere 80.3
Person 75.1
Bar Counter 68.2
Pub 68.2
Audience 60.7
Skin 58.6
Stage 55.1

Clarifai
created on 2023-10-22

people 98.5
man 95.5
portrait 95.1
administration 94.8
one 91.8
wear 91.3
outfit 90.4
leader 88.9
recreation 88.8
music 84.2
business 84.1
red carpet 83
festival 82.6
two 81.9
ceremony 81.9
basketball 79.3
politician 78.2
adult 77.8
indoors 76.7
movie 75.5

Imagga
created on 2022-05-03

businessman 72.5
suit 70.4
man 53.8
male 51.9
professional 51
business 50.5
executive 48.1
person 45.4
corporate 42.2
handsome 38.4
baron 37.9
confident 33.7
tie 33.3
adult 32.5
men 31.8
successful 29.3
portrait 28.5
happy 28.2
success 27.4
manager 27
office 25.7
smiling 25.4
people 25.1
standing 22.6
looking 22.4
boss 21.1
businesspeople 20.9
job 20.4
businesswoman 20
work 19.7
formal 19.1
lawyer 18.6
confidence 18.2
team 17.9
meeting 17.9
smart 17.9
adviser 17.7
mature 17.7
businessmen 17.6
black 16.9
worker 16.2
entrepreneur 16.1
teamwork 15.8
smile 15.7
expression 15.4
career 15.2
planner 14.7
colleagues 14.6
face 14.2
speaker 14.2
happiness 14.1
guy 14.1
shirt 14
company 14
cheerful 13.8
group 13.7
one 13.5
judge 12.5
30s 12.5
leadership 12.5
occupation 11.9
building 11.9
studio 11.4
hand 11.4
modern 11.2
attractive 11.2
articulator 10.8
necktie 10.6
corporation 10.6
clothing 10.6
garment 10.5
senior 10.3
20s 10.1
communication 10.1
jacket 10
holding 9.9
employee 9.9
leader 9.7
partnership 9.6
friendly 9.2
working 8.9
colleague 8.8
indoors 8.8
40s 8.8
serious 8.6
showing 8.5
old 8.4
phone 8.3
communicator 8.1
hair 7.9
partners 7.8
cellphone 7.8
elegant 7.7
staff 7.7
workplace 7.6
finance 7.6
thinking 7.6
mobile 7.6
human 7.5
commerce 7.5
positive 7.4
alone 7.3
computer 7.2

Google
created on 2022-05-03

Brown 98
Glasses 97.3
Smile 91.8
Dress shirt 90.1
Human 89
Tie 86.5
Collar 83
Suit 81.9
Blazer 78.3
Formal wear 78.1
Fashion design 76.7
White-collar worker 74.3
Event 74.3
Flooring 72.8
Official 68.1
Happy 67.4
Tuxedo 65.6
Night 56.5
Eyewear 55.9
Businessperson 52.1

Microsoft
created on 2022-05-03

person 99.9
man 99.1
clothing 88.5
smile 88.3
tie 86.3
human face 85.4
suit 79.7
standing 78.5
ceiling 75.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 54-64
Gender Male, 100%
Happy 95.5%
Surprised 6.3%
Fear 5.9%
Disgusted 3%
Sad 2.2%
Calm 0.5%
Angry 0.3%
Confused 0.3%

AWS Rekognition

Age 24-34
Gender Female, 94.3%
Sad 95.2%
Happy 18.1%
Calm 13.9%
Surprised 10.5%
Fear 7%
Disgusted 6.6%
Confused 2.6%
Angry 1.9%

AWS Rekognition

Age 23-33
Gender Male, 99.2%
Surprised 76.7%
Fear 33.6%
Calm 16.7%
Disgusted 3%
Happy 2.7%
Sad 2.2%
Angry 0.8%
Confused 0.3%

AWS Rekognition

Age 23-31
Gender Female, 93.7%
Sad 100%
Fear 7.6%
Surprised 6.4%
Disgusted 0.3%
Calm 0.3%
Angry 0.3%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 20-28
Gender Male, 87.9%
Fear 49.5%
Calm 44.5%
Surprised 7.3%
Sad 4.7%
Disgusted 2.7%
Happy 1.5%
Angry 1.4%
Confused 1.3%

AWS Rekognition

Age 18-26
Gender Male, 66.3%
Calm 66.8%
Surprised 15.1%
Sad 8.7%
Fear 6.8%
Happy 4.3%
Confused 2.2%
Disgusted 1.6%
Angry 1%

AWS Rekognition

Age 20-28
Gender Female, 69.5%
Happy 94.5%
Fear 7%
Surprised 6.5%
Sad 2.7%
Calm 0.3%
Angry 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 14-22
Gender Female, 88.6%
Fear 97.8%
Surprised 7%
Sad 2.2%
Calm 0.3%
Happy 0.1%
Confused 0.1%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 39-47
Gender Male, 94.3%
Happy 68.7%
Calm 25.2%
Surprised 6.8%
Fear 5.9%
Angry 2.9%
Sad 2.5%
Disgusted 0.6%
Confused 0.2%

AWS Rekognition

Age 18-26
Gender Female, 99.8%
Happy 37.2%
Fear 15.6%
Disgusted 13.1%
Sad 12.8%
Surprised 10.3%
Calm 6.6%
Angry 5.9%
Confused 1.5%

AWS Rekognition

Age 11-19
Gender Female, 85.4%
Calm 39.1%
Fear 31.8%
Sad 28.6%
Surprised 7.9%
Happy 3%
Confused 2.5%
Disgusted 1.1%
Angry 1.1%

AWS Rekognition

Age 20-28
Gender Female, 98.7%
Surprised 26%
Fear 22.7%
Disgusted 20.9%
Sad 14.3%
Angry 8.2%
Calm 5.7%
Confused 4.9%
Happy 3.7%

AWS Rekognition

Age 19-27
Gender Male, 99.6%
Fear 53.5%
Calm 19.7%
Surprised 15.2%
Angry 8.7%
Disgusted 7.1%
Sad 4.7%
Confused 2.3%
Happy 1.6%

AWS Rekognition

Age 21-29
Gender Female, 77.8%
Surprised 28.6%
Calm 25.5%
Happy 17.3%
Angry 9.8%
Fear 9.1%
Sad 8.5%
Confused 5.9%
Disgusted 3.6%

Microsoft Cognitive Services

Age 57
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
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

Feature analysis

Amazon

Tie 100%
Person 99.4%
Suit 94.4%

Categories

Imagga

events parties 99.9%

Text analysis

Amazon

COIT.2017

Google

COT.2017 参
COT.2017