Human Generated Data

Title

Feast in the House of Levi

Date

16th century

People

Artist: Unidentified Artist,

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Classification

Paintings

Human Generated Data

Title

Feast in the House of Levi

People

Artist: Unidentified Artist,

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Date

16th century

Classification

Paintings

Machine Generated Data

Tags

Amazon

Person 98
Human 98
Art 96
Painting 96
Person 95.5
Person 94.9
Person 94.7
Person 94.1
Person 93.3
Person 91.1
Person 88.8
Person 86.5
Person 83.5
Person 82.7
Architecture 80.8
Building 80.8
Person 79.3
Person 77.1
Person 74.7
Person 72.1
Person 69.4
Crypt 66.2
Person 65
Person 63.6
Person 62
Person 52.7
Person 52.3
Person 50
Person 46.2

Clarifai

people 98.6
religion 97.4
art 97
church 96.9
group 96.1
architecture 94.1
painting 94
bedrock 93.6
travel 93.1
column 91
building 90
adult 88.4
saint 87.5
arch 87
indoors 86.2
Renaissance 86
cross 84.4
many 83.1
cathedral 82.6
tower 80.4

Imagga

cathedral 67.3
architecture 60.3
church 60.2
building 46
religion 44
old 36.3
altar 35.7
catholic 35.5
vault 33.6
landmark 29.8
arch 29.8
anteroom 27.6
structure 26.8
religious 25.3
travel 24.7
roof 24
history 23.3
monument 22.5
tourism 22.3
historic 22
stone 21.1
ancient 20.8
window 20.4
interior 20.4
city 20
column 19.3
medieval 19.2
art 19.1
famous 18.6
catholicism 17.7
chapel 17.7
holy 17.4
protective covering 17.4
god 17.3
door 17.1
historical 17
faith 16.3
arches 15.7
worship 15.5
palace 15.2
tourist 14.7
detail 14.5
architectural 14.4
light 14.1
culture 13.7
cross 13.2
temple 13
sculpture 13
inside 12.9
covering 12.7
decoration 12.3
glass 11.7
pray 11.7
saint 11.6
roman 10.9
hall 10.8
entrance 10.6
statue 10.5
tower 9.9
prayer 9.7
spirituality 9.6
place 9.3
gold 9.1
ceiling 8.9
sacred 8.8
st 8.7
dome 8.7
stained 8.7
wall 8.7
town 8.4
tracery 8.4
street 8.3
vintage 8.3
monastery 8.3
square 8.2
facade 8
basilica 7.9
urban 7.9
columns 7.9
baroque 7.8
antique 7.8
golden 7.8
heritage 7.7
destination 7.5
style 7.4
exterior 7.4
house 7.2

Microsoft

arch 27.9
altar 11.7

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Calm 49.7%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.6%
Happy 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 57-77
Gender Male, 50.2%
Angry 49.6%
Confused 49.6%
Happy 49.5%
Sad 50.2%
Disgusted 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Sad 49.7%
Happy 49.6%
Calm 49.8%
Surprised 49.6%
Disgusted 49.7%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Happy 49.9%
Surprised 49.6%
Angry 49.7%
Calm 49.6%
Confused 49.5%
Sad 49.7%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Angry 49.5%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Angry 49.6%
Confused 49.6%
Calm 50%
Sad 49.6%
Happy 49.6%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.6%
Angry 49.6%
Calm 49.6%
Sad 49.9%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 50.1%
Disgusted 49.6%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.3%
Happy 49.5%
Angry 49.6%
Sad 49.9%
Surprised 49.5%
Disgusted 49.8%
Calm 49.5%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Sad 49.8%
Calm 49.8%
Happy 49.6%
Confused 49.6%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Happy 49.7%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 49.5%
Happy 49.5%
Confused 49.6%
Calm 50.2%
Sad 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.7%
Angry 49.6%
Surprised 49.7%
Disgusted 49.6%
Confused 49.6%
Sad 49.9%
Happy 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Happy 49.5%
Confused 49.6%
Disgusted 49.5%
Surprised 49.7%
Calm 49.8%
Angry 49.6%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 49.6%
Confused 49.5%
Disgusted 49.8%
Surprised 49.5%
Calm 49.9%
Angry 49.7%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Confused 49.7%
Disgusted 49.8%
Angry 49.6%
Calm 49.6%
Sad 49.7%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Disgusted 49.6%
Happy 49.7%
Confused 49.6%
Calm 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Calm 49.7%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Sad 50.1%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.7%
Sad 49.6%
Happy 49.7%
Surprised 49.6%
Angry 49.8%
Confused 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Sad 50.4%
Calm 49.6%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Disgusted 49.7%
Sad 49.8%
Surprised 49.5%
Angry 49.6%
Calm 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Confused 49.5%
Disgusted 49.6%
Calm 50.2%
Surprised 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.6%
Angry 49.6%
Happy 49.7%
Surprised 49.6%
Disgusted 49.8%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 50.2%
Surprised 49.5%
Happy 49.6%
Calm 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Calm 49.7%
Angry 49.6%
Happy 49.5%
Disgusted 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Calm 50.1%
Disgusted 49.6%
Sad 49.6%
Angry 49.6%

Feature analysis

Amazon

Person 98%
Painting 96%

Captions

Microsoft

a group of people sitting in front of a building 89.4%
a group of people in front of a building 89.3%
a group of people standing in front of a building 89.2%