Human Generated Data

Title

Untitled (Mao Diptych #3)

Date

2009

People

Artist: Zhang Dali, Chinese born 1963

Publisher: Pace Editions, Inc., American

Publisher: Ethan Cohen Fine Arts,

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Richard Solomon and Ethan Cohen, 2010.480.3

Human Generated Data

Title

Untitled (Mao Diptych #3)

People

Artist: Zhang Dali, Chinese born 1963

Publisher: Pace Editions, Inc., American

Publisher: Ethan Cohen Fine Arts,

Date

2009

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Richard Solomon and Ethan Cohen, 2010.480.3

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.7
Person 99.7
Person 99.7
Person 99.6
Person 99.3
Person 99.2
Person 99.1
People 85.8
Crowd 76.5
Person 70.8
Apparel 64.9
Clothing 64.9
Person 64.7
Face 59.6
Hair 58.6
Person 42.8

Clarifai
created on 2018-02-09

people 99.6
group 97.8
man 95.9
woman 93.6
adult 91.9
many 91
group together 90.7
administration 87.3
recreation 85.3
family 82.4
elderly 82.4
war 79.5
child 79.3
several 79
crowd 77.2
leader 73.5
wear 72.2
election 71.8
indoors 71.6
four 69.5

Imagga
created on 2018-02-09

cleaner 100
man 31.6
sport 24
people 24
outdoors 22.4
outdoor 19.9
male 19.8
leisure 19.1
person 19
active 18
adult 17.7
senior 16.9
grass 15.8
summer 15.4
activity 15.2
golf 14.3
hobby 14.2
walking 14.2
couple 13.9
game 13.4
happy 13.1
lifestyle 13
water 12.7
recreation 12.5
play 12.1
men 12
old 11.8
club 11.3
travel 11.3
golfing 10.7
vacation 10.6
ball 10.6
golfer 10
family 9.8
retired 9.7
player 9.6
retirement 9.6
walk 9.5
hat 9.1
exercise 9.1
landscape 8.9
swing 8.8
love 8.7
course 8.6
two 8.5
playing 8.2
smiling 8
worker 7.9
work 7.8
outside 7.7
fishing 7.7
age 7.6
weapon 7.6
child 7.6
field 7.5
silhouette 7.4
tourism 7.4
action 7.4
sports 7.4
fisherman 7.3
protection 7.3
sun 7.2
life 7.2
smile 7.1
to 7.1
happiness 7

Microsoft
created on 2018-02-09

person 99.6
group 71.1
people 62.8
line 34.3
crowd 31.5
team 26.8

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 35-52
Gender Male, 94.4%
Happy 6.2%
Angry 11.8%
Disgusted 7.9%
Calm 28.2%
Sad 36.2%
Surprised 2.5%
Confused 7.2%

AWS Rekognition

Age 45-65
Gender Male, 84.8%
Sad 36.4%
Angry 9.1%
Happy 15.5%
Calm 24.9%
Surprised 3.2%
Disgusted 6.4%
Confused 4.6%

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Confused 45%
Surprised 45%
Disgusted 45%
Sad 45%
Happy 55%
Angry 45%
Calm 45%

AWS Rekognition

Age 29-45
Gender Female, 73.5%
Disgusted 3.9%
Sad 7.9%
Angry 3.5%
Calm 69.4%
Surprised 3.1%
Happy 10.5%
Confused 1.7%

AWS Rekognition

Age 26-43
Gender Male, 66.8%
Happy 15.4%
Confused 3%
Sad 44.1%
Angry 3.7%
Calm 28.8%
Disgusted 1.4%
Surprised 3.6%

AWS Rekognition

Age 26-43
Gender Male, 74.4%
Sad 21%
Disgusted 2.9%
Surprised 4.8%
Confused 2.4%
Angry 4.5%
Happy 6.2%
Calm 58.1%

AWS Rekognition

Age 26-43
Gender Female, 52%
Sad 10.8%
Surprised 1.7%
Disgusted 1.2%
Angry 2.5%
Calm 82%
Happy 1%
Confused 0.8%

AWS Rekognition

Age 27-44
Gender Female, 54.1%
Happy 45.2%
Angry 45.2%
Surprised 45.1%
Sad 53.3%
Disgusted 45.2%
Calm 45.8%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 57.5%
Happy 0.4%
Disgusted 0.4%
Angry 1.7%
Confused 4.5%
Calm 13.6%
Surprised 0.7%
Sad 78.7%

AWS Rekognition

Age 26-43
Gender Female, 66.4%
Happy 17.4%
Sad 66.7%
Calm 9.7%
Confused 1.4%
Disgusted 0.8%
Surprised 1.3%
Angry 2.7%

AWS Rekognition

Age 38-59
Gender Female, 50.6%
Confused 45%
Sad 54.5%
Calm 45.3%
Happy 45.1%
Surprised 45%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 27-44
Gender Male, 54.6%
Disgusted 45%
Happy 54.8%
Surprised 45%
Sad 45%
Calm 45.1%
Angry 45%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 50%
Disgusted 45.1%
Sad 45.9%
Calm 47%
Surprised 45.2%
Happy 51.5%
Confused 45.1%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Male, 88.3%
Confused 3%
Sad 47.1%
Disgusted 2.2%
Happy 2.4%
Angry 3.9%
Surprised 1.8%
Calm 39.6%

AWS Rekognition

Age 17-27
Gender Female, 96.4%
Sad 65.5%
Surprised 7%
Disgusted 1.6%
Confused 8.5%
Calm 10.6%
Happy 0.3%
Angry 6.6%

AWS Rekognition

Age 23-38
Gender Male, 54.3%
Calm 46.7%
Confused 45.2%
Surprised 45.1%
Disgusted 45.1%
Happy 45.3%
Angry 45.2%
Sad 52.4%

AWS Rekognition

Age 19-36
Gender Female, 54.1%
Happy 45.1%
Confused 45.7%
Angry 52.8%
Surprised 45.2%
Disgusted 45.1%
Calm 45.4%
Sad 45.6%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Sad 48.8%
Calm 46.1%
Angry 47.7%
Surprised 45.5%
Confused 46.7%
Happy 45%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Angry 46.9%
Confused 45.9%
Surprised 45.8%
Calm 46.3%
Disgusted 45.6%
Sad 49.3%
Happy 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Happy 45.1%
Confused 46.7%
Sad 48.8%
Angry 46.2%
Calm 47.2%
Disgusted 45.3%
Surprised 45.7%

AWS Rekognition

Age 19-36
Gender Female, 50%
Surprised 45.4%
Angry 45.3%
Sad 49.1%
Calm 48.9%
Disgusted 45.7%
Confused 45.4%
Happy 45.1%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Confused 45.8%
Surprised 45.4%
Happy 45.3%
Angry 45.4%
Disgusted 45.2%
Sad 52.3%
Calm 45.5%

AWS Rekognition

Age 17-27
Gender Female, 54.8%
Confused 45.4%
Surprised 45.4%
Disgusted 45.1%
Happy 45.1%
Sad 46.4%
Calm 52.3%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Surprised 49.5%
Confused 49.5%
Disgusted 50%
Calm 49.5%
Angry 49.6%
Sad 49.7%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Surprised 45.4%
Happy 45.6%
Confused 45.5%
Angry 46.9%
Disgusted 45.8%
Calm 45.5%
Sad 50.4%

Microsoft Cognitive Services

Age 34
Gender Male

Microsoft Cognitive Services

Age 5
Gender Female

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 19
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 11
Gender Female

Microsoft Cognitive Services

Age 11
Gender Female

Feature analysis

Amazon

Person 99.7%

Text analysis

Amazon

zhang
kk zhang
kk
l20oc

Google

30 𣧂太メ2hOrng Dal), 2005
30
𣧂太メ
2hOrng
Dal
)
,
2005