Human Generated Data

Title

Last Supper

Date

-

People

Artist: Unidentified Artist,

Artist after: Leonardo da Vinci, Italian 1452 - 1519

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Edward W. Forbes, Class of 1895, 1952.145

Human Generated Data

Title

Last Supper

People

Artist: Unidentified Artist,

Artist after: Leonardo da Vinci, Italian 1452 - 1519

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Edward W. Forbes, Class of 1895, 1952.145

Machine Generated Data

Tags

Amazon
created on 2019-11-09

Person 96.6
Human 96.6
Art 95.8
Person 95.8
Painting 95.2
Person 94.6
Person 93.5
Person 92.5
Person 82.1
Person 78.6
Person 72.6
Person 72.5
Person 63.8
Person 62

Clarifai
created on 2019-11-09

painting 99.3
people 99.1
art 97.4
room 97.4
adult 97
museum 96.6
indoors 95.9
building 94.8
no person 94.7
group 94.6
architecture 94.4
man 92.3
furniture 91.9
window 91.1
wear 90.9
religion 90.8
wall 90.3
exhibition 89.5
picture frame 89.2
house 89

Imagga
created on 2019-11-09

beam 52.2
architecture 37.6
building 35.4
temple 32.1
structure 30.9
fountain 28.4
ancient 26.8
old 24.4
travel 23.9
sculpture 21.9
stone 21.1
wall 20.6
history 20.6
religion 19.7
statue 18.9
culture 17.9
historic 17.4
religious 16.9
city 16.6
art 16.6
landmark 16.2
palace 15.6
monument 14.9
tourism 14.8
exterior 14.7
house 14.3
historical 14.1
door 13.5
windowsill 12.7
entrance 12.6
china 11.3
famous 11.2
construction 11.1
sill 11.1
traditional 10.8
antique 10.4
light 10
column 9.9
structural member 9.8
oriental 9.4
tourist 9.4
wood 9.2
texture 9
detail 8.8
marble 8.7
water 8.7
god 8.6
support 8.5
sky 8.3
vintage 8.3
brick 8.2
roof 8.2
facade 8
design 7.9
belief 7.8
worship 7.7
holy 7.7
industry 7.7
grunge 7.7
frame 7.5
church 7.4
metal 7.2
home 7.2
tower 7.2

Google
created on 2019-11-09

Microsoft
created on 2019-11-09

window 97.4
art 95.9
person 72.7
text 61.6
picture frame 61
painting 23.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 14-26
Gender Male, 51.7%
Disgusted 45.2%
Surprised 45.1%
Calm 45.3%
Angry 45.6%
Sad 51.9%
Fear 45.7%
Happy 46%
Confused 45.3%

AWS Rekognition

Age 32-48
Gender Male, 53.6%
Disgusted 45.1%
Calm 53.6%
Sad 45.3%
Angry 45.1%
Happy 45.2%
Surprised 45.4%
Fear 45.2%
Confused 45.1%

AWS Rekognition

Age 23-35
Gender Male, 51.1%
Confused 45%
Happy 45.3%
Fear 45.1%
Angry 45.1%
Disgusted 45%
Calm 53.2%
Surprised 46.2%
Sad 45.1%

AWS Rekognition

Age 49-67
Gender Male, 50.2%
Surprised 49.6%
Sad 49.5%
Happy 50%
Calm 49.8%
Disgusted 49.5%
Fear 49.6%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 25-39
Gender Male, 50.3%
Angry 50.2%
Calm 49.6%
Confused 49.5%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 13-23
Gender Female, 50.3%
Disgusted 49.5%
Angry 50.5%
Surprised 49.5%
Sad 49.5%
Happy 49.5%
Calm 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.5%
Angry 49.5%
Happy 49.7%
Sad 49.5%
Disgusted 49.5%
Fear 49.6%
Calm 50%
Surprised 49.7%
Confused 49.5%

AWS Rekognition

Age 37-55
Gender Male, 50.4%
Confused 49.5%
Angry 49.5%
Calm 49.8%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Sad 50.2%

AWS Rekognition

Age 35-51
Gender Female, 50.2%
Calm 49.6%
Confused 49.5%
Happy 50.3%
Sad 49.5%
Fear 49.5%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-27
Gender Male, 50.2%
Angry 49.5%
Calm 49.7%
Fear 49.7%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.9%

AWS Rekognition

Age 19-31
Gender Female, 50.7%
Surprised 45.1%
Sad 46%
Fear 45.1%
Disgusted 45.1%
Calm 53.3%
Confused 45.1%
Angry 45.3%
Happy 45.1%

AWS Rekognition

Age 32-48
Gender Male, 50.1%
Angry 49.5%
Confused 49.5%
Calm 50.4%
Disgusted 49.5%
Fear 49.5%
Happy 49.5%
Sad 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 96.6%
Painting 95.2%

Categories

Captions

Text analysis

Amazon

l