Human Generated Data

Title

Women Taken in Adultery

Date

19th century

People

Artist: Pietro Anderloni, Italian 1784 - 1849

Artist after: Titian (Tiziano Vecellio), Italian c. 1488 - 1576

Classification

Prints

Human Generated Data

Title

Women Taken in Adultery

People

Artist: Pietro Anderloni, Italian 1784 - 1849

Artist after: Titian (Tiziano Vecellio), Italian c. 1488 - 1576

Date

19th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 99.1
Person 99.1
Person 98.9
Person 98.4
Art 97.8
Painting 97.8
Person 97.7
Person 97.5
Person 97.1
Person 94.8
Person 92.4
Person 85.9
Person 84.4
Person 82.1
Person 80.1
Person 78.4
Person 67.2
People 63.9
Drawing 62.7
Photography 62.1
Photo 62.1
Face 61.5
Portrait 61.5
Person 43.8
Person 42.6

Clarifai

people 100
group 99.9
art 99.7
many 98.9
adult 98.8
woman 98.3
print 98.3
man 98.2
kneeling 97.9
religion 97.9
illustration 97.7
saint 97.6
gown (clothing) 97.2
Apostle 97
book 96.9
painting 95.7
leader 95.5
baby 95
Renaissance 94.5
engraving 93.8

Imagga

daily 92.1
newspaper 41.4
money 34.9
dollar 32.5
product 32.3
currency 31.4
cash 31.1
bank 26
creation 25.3
banking 24.8
bill 23.8
business 23.1
finance 22.8
sculpture 22.7
wealth 22.4
statue 22.1
paper 21.2
art 21.1
old 20.2
financial 19.6
savings 19.6
one 19.4
dollars 19.3
vintage 19
pay 18.2
close 17.7
hundred 17.4
ancient 17.3
history 17
franklin 16.7
us 16.4
loan 16.3
exchange 15.3
bills 14.6
closeup 14.1
symbol 14.1
investment 13.7
architecture 13.3
antique 13.1
rich 13
postmark 12.8
banknotes 12.7
stamp 12.6
religion 12.5
mail 12.4
god 12.4
culture 12
letter 11.9
postage 11.8
postal 11.8
banknote 11.6
states 11.6
economy 11.1
stone 11
finances 10.6
sign 10.5
capital 10.4
note 10.1
funds 9.8
envelope 9.7
economic 9.7
payment 9.6
united 9.5
man 9.4
religious 9.4
monument 9.3
face 9.2
circa 8.9
market 8.9
success 8.9
detail 8.8
marble 8.7
debt 8.7
price 8.6
sales 8.6
historical 8.5
church 8.3
historic 8.2
building 8.1
carving 8
printed 7.9
president 7.9
legal 7.8
male 7.8
income 7.8
painter 7.8
spiritual 7.7
profit 7.7
post 7.6
commerce 7.5
tourism 7.4
figure 7.4
aged 7.2
paint 7.2
travel 7

Google

Microsoft

text 97.6
posing 96.6
drawing 95.7
group 94.8
clothing 93.9
old 92.5
painting 91
person 90.1
sketch 85.4
gallery 80.2
people 79.1
room 54
woman 53.9
clothes 15.2

Face analysis

Amazon

AWS Rekognition

Age 29-45
Gender Male, 54.1%
Disgusted 45%
Fear 45%
Happy 45%
Calm 54.9%
Angry 45%
Sad 45.1%
Confused 45%
Surprised 45%

AWS Rekognition

Age 24-38
Gender Female, 54.9%
Happy 45%
Fear 45%
Disgusted 45%
Angry 45%
Sad 45.2%
Surprised 45%
Confused 45%
Calm 54.7%

AWS Rekognition

Age 46-64
Gender Male, 54.8%
Angry 54.9%
Calm 45.1%
Disgusted 45%
Fear 45%
Happy 45%
Confused 45%
Surprised 45%
Sad 45%

AWS Rekognition

Age 43-61
Gender Male, 54.9%
Sad 45.9%
Disgusted 45.3%
Angry 46.6%
Fear 45.5%
Surprised 45.1%
Confused 45.2%
Happy 45.1%
Calm 51.4%

AWS Rekognition

Age 39-57
Gender Male, 54.7%
Surprised 45.1%
Happy 45.1%
Angry 45.1%
Fear 45%
Disgusted 45%
Confused 45%
Sad 45%
Calm 54.6%

AWS Rekognition

Age 5-15
Gender Female, 54.2%
Angry 50.5%
Fear 45%
Happy 45%
Disgusted 45%
Calm 49.3%
Confused 45%
Sad 45.1%
Surprised 45%

AWS Rekognition

Age 51-69
Gender Male, 51.1%
Fear 45.1%
Surprised 45%
Angry 45%
Happy 45%
Sad 54.2%
Calm 45.5%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 22-34
Gender Male, 54.5%
Fear 45%
Sad 45.1%
Calm 54.7%
Confused 45.1%
Disgusted 45%
Happy 45%
Angry 45%
Surprised 45.1%

AWS Rekognition

Age 23-37
Gender Male, 52.9%
Calm 50.8%
Confused 45.1%
Surprised 45.4%
Happy 47.5%
Angry 45.6%
Disgusted 45.1%
Sad 45.3%
Fear 45.2%

AWS Rekognition

Age 33-49
Gender Male, 54.5%
Happy 45%
Angry 45.1%
Disgusted 45.4%
Calm 48%
Sad 48.1%
Confused 48.3%
Fear 45.1%
Surprised 45.1%

AWS Rekognition

Age 1-7
Gender Female, 51.8%
Confused 45%
Angry 45%
Fear 45%
Sad 45.1%
Disgusted 45.1%
Happy 45.3%
Calm 54.5%
Surprised 45%

AWS Rekognition

Age 32-48
Gender Male, 53.4%
Happy 51.1%
Fear 45.3%
Sad 45.2%
Calm 48.3%
Angry 45.1%
Surprised 45.1%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 62-78
Gender Male, 54.5%
Disgusted 45%
Happy 45%
Angry 45.1%
Confused 45%
Calm 51.3%
Fear 45%
Sad 48.4%
Surprised 45%

AWS Rekognition

Age 23-35
Gender Male, 53.2%
Sad 49.2%
Happy 45.3%
Disgusted 45.4%
Fear 45.1%
Angry 45.4%
Calm 49.4%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 32-48
Gender Male, 54.9%
Disgusted 45.1%
Happy 45.4%
Fear 45%
Angry 45.2%
Surprised 45.1%
Calm 54%
Sad 45%
Confused 45.1%

AWS Rekognition

Age 50-68
Gender Male, 54.5%
Sad 48.5%
Fear 45%
Calm 51.5%
Disgusted 45%
Happy 45%
Angry 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 19-31
Gender Male, 54.4%
Disgusted 45.1%
Fear 45%
Sad 45.1%
Happy 46.2%
Angry 45.6%
Calm 53%
Confused 45%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Female, 52%
Angry 46.3%
Sad 51.6%
Surprised 45%
Happy 45.1%
Confused 45.1%
Fear 45.1%
Disgusted 46.4%
Calm 45.4%

Feature analysis

Amazon

Person 99.1%
Painting 97.8%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 93.2%
a group of people posing for a photo 93.1%
a vintage photo of a group of people posing for a picture 93%

Text analysis

Amazon

SINE
PRIMIS
RAINIRI
VICERE
VES'TIIM.
IL.L.AM
IN
MI'TT'A'T
L.APIDEM
QU1 SINE PI(CITO EsT VES'TIIM. PRIMIS IN IL.L.AM L.APIDEM MI'TT'A'T
PI(CITO
anrype RAINIRI VICERE Fenbamet iinti
QU1
EsT
ipoine
id
Fenbamet
TErghemar
triharon Lostra di id ipoine TErghemar
Lostra
anrype
iinti
di
triharon

Google

PECCATO
Lemba
mete
ל ০- QUI SINE PECCATO I.APIDEM MITTAT EST VESTRUM RIMIS I1.I. A M IN A n Panpe RAINIERI VICERE Lemba mete DlCndne t Lpet neal
০-
SINE
IN
RAINIERI
MITTAT
RIMIS
Panpe
t
Lpet
neal
ל
QUI
I.APIDEM
VESTRUM
I1.I.
A
n
DlCndne
EST
M
VICERE