Human Generated Data

Title

Young Man in a Hurry (Sixth of twelve): A jumble of flashbulbs, microphones, pushing reporters and smiling mayoral candidates mark the ribbon cutting ceremonies. But Lindsay, in the back row, disdains such political necessities --- he is happier making a speech. (Left-right): Lindsay; Republican Senator Jacob Javits; Alexander Farkas, President of Alexander's; Mayor Wagner; City Controller Abraham Beame; and City Council President Paul Screvane. A high powered political gathering.

Date

1965

People

Artist: Gordon W. Gahan, American 1945 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.31

Human Generated Data

Title

Young Man in a Hurry (Sixth of twelve): A jumble of flashbulbs, microphones, pushing reporters and smiling mayoral candidates mark the ribbon cutting ceremonies. But Lindsay, in the back row, disdains such political necessities --- he is happier making a speech. (Left-right): Lindsay; Republican Senator Jacob Javits; Alexander Farkas, President of Alexander's; Mayor Wagner; City Controller Abraham Beame; and City Council President Paul Screvane. A high powered political gathering.

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

1965

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.31

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Human 98.9
Person 98.9
Person 98
Person 97.5
Person 97.2
Person 95.6
Crowd 94.3
Tie 94.1
Accessory 94.1
Accessories 94.1
Tie 92.9
Person 91.9
Tie 88
Audience 87
Apparel 81.3
Coat 81.3
Overcoat 81.3
Clothing 81.3
Suit 81.3
People 74.1
Face 68.9
Person 66.6
Court 65.3
Room 65.3
Indoors 65.3
Suit 63.5
Speech 58.9
Sitting 58.6
Press Conference 56.9
Suit 54.8
Person 43

Clarifai
created on 2019-03-22

people 99.9
group 99.5
leader 99.4
group together 99.3
administration 98.8
many 97.9
several 97.2
adult 96.2
man 93.7
chair 91.8
five 88.8
wear 88
four 87
vehicle 85.1
war 82.9
airport 82.7
aircraft 81.8
governor 80.4
journalist 75
transportation system 74.3

Imagga
created on 2019-03-22

man 49
male 35.4
business 35.2
people 30.1
businessman 30
office 28.3
person 27.9
groom 25.7
suit 25.5
adult 25.4
men 24
meeting 21.6
happy 21.3
corporate 20.6
executive 20.4
professional 19.3
couple 19.1
smiling 18.1
businesspeople 17.1
handsome 16.9
group 16.9
businesswoman 16.3
sitting 16.3
indoors 15.8
work 15.7
colleagues 15.5
portrait 15.5
tie 15.2
lifestyle 15.2
communication 15.1
job 15
happiness 14.9
looking 14.4
desk 14.2
smile 13.5
adults 13.2
face 12.8
cheerful 12.2
manager 12.1
attractive 11.9
black 11.8
team 11.6
corporation 11.6
together 11.4
table 11.2
teamwork 11.1
occupation 11
discussion 10.7
working 10.6
success 10.4
computer 10.4
love 10.2
mature 10.2
indoor 10
fashion 9.8
conference 9.8
businessmen 9.7
jacket 9.7
senior 9.4
phone 9.2
20s 9.2
musical instrument 8.9
passenger 8.9
discussing 8.8
40s 8.8
mid adult 8.7
brass 8.6
boss 8.6
wind instrument 8.1
building 8
women 7.9
look 7.9
day 7.8
standing 7.8
world 7.7
life 7.7
busy 7.7
planning 7.7
30s 7.7
workplace 7.6
worker 7.6
females 7.6
career 7.6
human 7.5
employee 7.5
holding 7.4
technology 7.4
inside 7.4
banking 7.3
successful 7.3
confident 7.3
modern 7

Google
created on 2019-03-22

Microsoft
created on 2019-03-22

person 99.5
indoor 92.4
people 79.7
group 72.2
music 11.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 57-77
Gender Male, 99.5%
Disgusted 1.8%
Confused 4.9%
Happy 75.3%
Calm 1.4%
Angry 5.2%
Surprised 2.8%
Sad 8.5%

AWS Rekognition

Age 57-77
Gender Male, 99.1%
Happy 88.9%
Sad 0.8%
Surprised 2.1%
Disgusted 0.9%
Angry 4.8%
Confused 1.8%
Calm 0.8%

AWS Rekognition

Age 45-63
Gender Female, 53.4%
Disgusted 0.3%
Confused 0.6%
Sad 74.1%
Surprised 0.9%
Calm 18.8%
Angry 3.4%
Happy 1.9%

AWS Rekognition

Age 35-55
Gender Male, 96.2%
Disgusted 0%
Angry 0%
Surprised 0.1%
Happy 99.8%
Calm 0%
Confused 0%
Sad 0%

AWS Rekognition

Age 57-77
Gender Male, 99%
Angry 0.2%
Calm 98.7%
Disgusted 0%
Confused 0.3%
Sad 0.4%
Happy 0.1%
Surprised 0.2%

AWS Rekognition

Age 45-63
Gender Male, 88%
Happy 0.2%
Confused 0.7%
Disgusted 0.1%
Calm 94.8%
Angry 1%
Surprised 0.5%
Sad 2.6%

AWS Rekognition

Age 57-77
Gender Male, 98.4%
Sad 11.6%
Angry 6.8%
Calm 26.7%
Surprised 8.4%
Confused 8.5%
Happy 34%
Disgusted 4.1%

AWS Rekognition

Age 26-43
Gender Male, 95.2%
Calm 79.9%
Confused 2.5%
Angry 3.9%
Sad 9.6%
Surprised 2%
Disgusted 1.8%
Happy 0.3%

AWS Rekognition

Age 35-52
Gender Male, 81.9%
Angry 14.5%
Surprised 7.7%
Happy 6.1%
Disgusted 5.9%
Sad 16.1%
Confused 16.6%
Calm 33%

AWS Rekognition

Age 38-59
Gender Male, 53.3%
Disgusted 45.1%
Calm 53.7%
Angry 45.1%
Sad 45.9%
Happy 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Disgusted 45%
Angry 45.3%
Happy 45.1%
Confused 45.2%
Calm 52.4%
Surprised 45.2%
Sad 46.8%

Microsoft Cognitive Services

Age 68
Gender Male

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 22
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 likely
Headwear Likely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.9%
Tie 94.1%
Suit 81.3%

Text analysis

Google

od -ど
od
-