Human Generated Data

Title

The Well of Bethesda

Date

c. 1687

People

Artist: Luca Giordano, Italian 1634 - 1705

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Friends of the Fogg Art Museum Fund, 1954.84

Human Generated Data

Title

The Well of Bethesda

People

Artist: Luca Giordano, Italian 1634 - 1705

Date

c. 1687

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Friends of the Fogg Art Museum Fund, 1954.84

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.5
Person 99.5
Painting 99.5
Art 99.5
Person 95.5
Person 95
Person 92.4
Person 86.7
Person 79.3
Person 77.8
Person 72.3
Person 71.8
Person 70
Person 69.2
Person 68.8
Person 60.9

Clarifai
created on 2018-03-16

people 99.9
art 99.8
painting 99.6
group 99.5
adult 99.1
religion 98.8
kneeling 98.4
man 97.7
Renaissance 97.4
illustration 97.4
woman 96.5
veil 96.3
baby 95.7
pain 94.7
print 94.2
Mary 94.1
saint 94
gown (clothing) 94
son 93.7
position 93.3

Imagga
created on 2018-03-16

religion 37.6
sculpture 36.4
temple 32.8
statue 32.4
old 25.8
architecture 25.8
culture 24.8
art 22.8
ancient 22.5
travel 21.8
religious 21.5
history 19.7
traditional 19.1
gold 16.4
spiritual 16.3
east 15.9
spirituality 15.4
oriental 14.5
god 14.4
cadaver 14
worship 13.5
tourism 13.2
building 12.9
pray 12.6
carving 12.6
structure 12.5
stone 11.8
sacred 11.7
faith 11.5
earthenware 11.4
basement 11.4
hut 11.3
tunnel 10.9
grave 10.7
holy 10.6
china 10.3
golden 10.3
monument 10.3
church 10.2
city 10
soldier 9.8
prayer 9.7
heritage 9.7
wall 9.6
shield 9.5
historical 9.4
antique 9.2
decoration 9.2
armor 9.2
shelter 9.1
praying 8.8
warrior 8.8
belief 8.8
scene 8.7
ceramic ware 8.6
famous 8.4
tradition 8.3
historic 8.3
weapon 8.2
man 8.1
southeast 7.9
bangkok 7.9
face 7.8
saint 7.7
tourist 7.4
symbol 7.4
light 7.4
ornate 7.3
figure 7.3
people 7.3
landmark 7.2

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

old 61.5
several 10.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-65
Gender Female, 50.5%
Surprised 49.5%
Happy 49.6%
Disgusted 49.5%
Calm 49.8%
Sad 50%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 50%
Sad 49.7%
Calm 49.6%

AWS Rekognition

Age 1-5
Gender Female, 50.4%
Sad 49.6%
Calm 50%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.1%
Calm 49.7%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Sad 50.2%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 50.3%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.7%
Confused 49.5%
Calm 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Calm 49.8%
Angry 49.6%
Happy 49.7%
Disgusted 49.5%
Sad 49.7%
Surprised 49.6%
Confused 49.6%

Feature analysis

Amazon

Person 99.5%
Painting 99.5%