Human Generated Data

Title

Cession of the District of Matavai in Island of Otaheite to Capt. James Wilson for Use of the Missionaries
Date

1803
People

Artist: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: Robert Smirke, British 1752-1845
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R11747

Human Generated Data

Title

Cession of the District of Matavai in Island of Otaheite to Capt. James Wilson for Use of the Missionaries

People

Artist: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: Robert Smirke, British 1752-1845

Date

1803

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R11747

Machine Generated Data

Tags

Amazon
created on 2019-11-04

Human 99.5
Person 99.5
Person 99.5
Person 99.4
Person 99.3
Person 99
Painting 98.7
Art 98.7
Person 98.1
Person 98.1
Person 98
Person 97.7
Person 97.5
Person 96.4
Person 96
Person 94.8
Person 94.8
Person 93.3
Person 92.5
Person 90.9
Person 82.4
Person 81.4
People 77.2
Person 67.7
Person 65.5

Clarifai
created on 2019-11-04

people 100
group 99.9
many 99.9
adult 99
child 97.8
several 97.5
wear 96.3
woman 96
man 94.8
art 94
group together 93.9
military 93.2
veil 90.1
recreation 85.8
print 84.6
leader 84.6
baby 84.1
kneeling 83.2
dancing 81.8
elderly 80.5

Imagga
created on 2019-11-04

fan 41.9
follower 33.8
statue 33.7
person 28.3
sculpture 26.8
religion 26
history 23.3
old 23
monument 21.5
stone 19.6
ancient 19
art 18.3
architecture 18
travel 17.6
religious 16.9
tourism 16.5
god 16.3
temple 14.6
building 13
historic 12.8
people 12.8
culture 12.8
antique 12.1
famous 12.1
white 12
church 12
landmark 11.7
kin 11.7
faith 11.5
man 11.4
peace 11
marble 10.7
catholic 10.4
scene 10.4
historical 10.3
world 9.7
worship 9.7
detail 9.7
saint 9.6
spiritual 9.6
spirituality 9.6
traditional 9.1
groom 8.7
love 8.7
holy 8.7
cathedral 8.6
two 8.5
sky 8.3
vintage 8.3
mother 8
soldier 7.8
army 7.8
pray 7.8
military 7.7
tourist 7.5
child 7.5
park 7.4
symbol 7.4
monk 7.3
color 7.2

Google
created on 2019-11-04

Painting 95.8
Photograph 95.5
Art 78.6
Stock photography 77.8
Visual arts 74.6
Photography 70.6
Adaptation 67
Picture frame 64.5
Artwork 51.1

Microsoft
created on 2019-11-04

text 97.3
clothing 94.8
old 94.5
painting 93.8
person 93.1
posing 92.6
woman 87.4
group 77.3
black 75.5
white 75.3
man 63
people 56.3
vintage 26.2
crowd 0.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 25-39
Gender Male, 50.9%
Fear 45.3%
Angry 47.2%
Disgusted 45.1%
Sad 45.2%
Surprised 45.4%
Confused 45.1%
Happy 45.2%
Calm 51.5%

AWS Rekognition

Age 12-22
Gender Female, 53%
Disgusted 45%
Calm 49%
Angry 45.1%
Fear 50.4%
Confused 45%
Sad 45.2%
Happy 45.1%
Surprised 45.2%

AWS Rekognition

Age 13-23
Gender Female, 53.5%
Disgusted 45%
Confused 45%
Angry 45.1%
Calm 54.1%
Happy 45.1%
Sad 45.6%
Surprised 45%
Fear 45%

AWS Rekognition

Age 22-34
Gender Male, 54.4%
Happy 45.4%
Disgusted 45.3%
Sad 45.5%
Calm 53.4%
Angry 45.2%
Fear 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 23-35
Gender Male, 51.3%
Sad 45%
Confused 45%
Happy 45%
Surprised 45%
Disgusted 45%
Calm 55%
Fear 45%
Angry 45%

AWS Rekognition

Age 22-34
Gender Male, 53.7%
Disgusted 45%
Angry 52.4%
Surprised 45.1%
Happy 45%
Calm 46.1%
Sad 46.1%
Fear 45.2%
Confused 45%

AWS Rekognition

Age 13-25
Gender Female, 54.8%
Fear 45%
Calm 54.7%
Happy 45.2%
Disgusted 45%
Angry 45.1%
Confused 45%
Sad 45.1%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 53.7%
Angry 45.1%
Confused 45%
Calm 52.3%
Sad 46.4%
Happy 45.9%
Fear 45.3%
Surprised 45%
Disgusted 45%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.5%
Fear 49.5%
Sad 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 21-33
Gender Female, 54.3%
Confused 45%
Disgusted 45.1%
Angry 46.8%
Calm 51.9%
Fear 45%
Happy 45%
Surprised 45%
Sad 46.1%

AWS Rekognition

Age 14-26
Gender Male, 54.9%
Fear 45%
Happy 45%
Angry 45.5%
Sad 45.9%
Confused 45%
Calm 53.6%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 23-37
Gender Female, 50.2%
Confused 45%
Fear 45%
Disgusted 45%
Sad 45.2%
Angry 45%
Happy 46.6%
Calm 53.1%
Surprised 45%

AWS Rekognition

Age 39-57
Gender Female, 50.2%
Surprised 45%
Disgusted 45%
Fear 45.1%
Confused 45.1%
Sad 49.8%
Angry 49.1%
Happy 45.1%
Calm 45.8%

AWS Rekognition

Age 22-34
Gender Female, 52.8%
Surprised 45%
Confused 45%
Calm 55%
Happy 45%
Disgusted 45%
Angry 45%
Sad 45%
Fear 45%

AWS Rekognition

Age 31-47
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Calm 50.5%
Confused 49.5%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 22-34
Gender Female, 52.5%
Happy 45.5%
Surprised 45.1%
Fear 45%
Disgusted 45%
Angry 45%
Confused 45%
Sad 45.1%
Calm 54.3%

AWS Rekognition

Age 50-68
Gender Male, 54.9%
Happy 45.2%
Confused 45%
Disgusted 45%
Surprised 45%
Fear 45%
Calm 54.6%
Angry 45.1%
Sad 45.2%

AWS Rekognition

Age 27-43
Gender Male, 52.9%
Disgusted 45.1%
Happy 45%
Fear 45.9%
Angry 47.4%
Surprised 45.3%
Sad 47.1%
Confused 45.2%
Calm 48.9%

AWS Rekognition

Age 22-34
Gender Female, 52.1%
Calm 51.2%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45%
Happy 48.7%
Sad 45.1%
Confused 45%

AWS Rekognition

Age 5-15
Gender Female, 50.3%
Calm 50.3%
Angry 49.5%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Fear 49.9%
Angry 49.7%
Calm 49.6%
Sad 49.8%
Surprised 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50%
Calm 50.1%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.6%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 40-58
Gender Female, 50%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Calm 50.3%

AWS Rekognition

Age 20-32
Gender Male, 50.4%
Calm 49.8%
Sad 49.9%
Fear 49.5%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 6-16
Gender Female, 50.3%
Confused 49.5%
Surprised 49.6%
Disgusted 49.5%
Calm 50.2%
Fear 49.5%
Sad 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 23-37
Gender Male, 50.1%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Calm 50.4%
Confused 49.5%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50.4%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 6-16
Gender Male, 54.5%
Confused 45%
Sad 45.1%
Angry 45.1%
Happy 45.8%
Calm 53.8%
Disgusted 45.1%
Fear 45%
Surprised 45%

AWS Rekognition

Age 12-22
Gender Female, 50%
Calm 50.4%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Fear 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 15-27
Gender Female, 50%
Happy 49.8%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Angry 49.6%
Calm 50.1%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 3-11
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Sad 50.4%

AWS Rekognition

Age 26-42
Gender Male, 50.2%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Calm 50.4%
Angry 49.6%
Sad 49.5%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Male, 54%
Calm 54.2%
Happy 45.1%
Disgusted 45%
Angry 45.1%
Fear 45%
Surprised 45%
Sad 45.6%
Confused 45%

AWS Rekognition

Age 23-37
Gender Male, 50.1%
Fear 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.6%
Disgusted 49.6%
Calm 50.2%
Sad 49.6%
Confused 49.5%

Feature analysis

Amazon

Person 99.5%
Painting 98.7%

Text analysis

Amazon

Thap
optin
beenty n
beenty n 1 Thap Jalff,
istet Mataon optin Molan
istet
Mataon
Molan
1
Jalff,

Google

-1-lfegC gfelydiseted y h
-1-lfegC
gfelydiseted
y
h