Machine Generated Data
Tags
Amazon
created on 2019-08-10
Clarifai
created on 2019-08-10
Imagga
created on 2019-08-10
statue | 45.3 | |
| ||
book jacket | 42.4 | |
| ||
sculpture | 37.1 | |
| ||
jacket | 33.1 | |
| ||
art | 32.7 | |
| ||
religion | 27.8 | |
| ||
wrapping | 25.1 | |
| ||
architecture | 19.6 | |
| ||
god | 19.1 | |
| ||
church | 18.5 | |
| ||
covering | 18.2 | |
| ||
old | 18.1 | |
| ||
culture | 17.9 | |
| ||
monument | 17.7 | |
| ||
faith | 16.3 | |
| ||
dress | 16.3 | |
| ||
city | 15.8 | |
| ||
travel | 15.5 | |
| ||
religious | 15 | |
| ||
ancient | 14.7 | |
| ||
history | 14.3 | |
| ||
temple | 14.2 | |
| ||
historical | 14.1 | |
| ||
figure | 13.7 | |
| ||
face | 13.5 | |
| ||
building | 13.5 | |
| ||
spirituality | 13.4 | |
| ||
antique | 12.8 | |
| ||
catholic | 12.6 | |
| ||
holy | 12.5 | |
| ||
lady | 12.2 | |
| ||
famous | 12.1 | |
| ||
detail | 12.1 | |
| ||
cemetery | 11.8 | |
| ||
bust | 11.6 | |
| ||
tourism | 11.5 | |
| ||
brass | 11.4 | |
| ||
stone | 11.2 | |
| ||
golden | 11.2 | |
| ||
landmark | 10.8 | |
| ||
closeup | 10.8 | |
| ||
decoration | 10.7 | |
| ||
saint | 10.6 | |
| ||
person | 10.1 | |
| ||
empire | 9.8 | |
| ||
fashion | 9.8 | |
| ||
prayer | 9.7 | |
| ||
memorial | 9.5 | |
| ||
column | 9.3 | |
| ||
decorative | 9.2 | |
| ||
structure | 9.2 | |
| ||
historic | 9.2 | |
| ||
tourist | 9.1 | |
| ||
portrait | 9.1 | |
| ||
bible | 8.8 | |
| ||
man | 8.7 | |
| ||
pray | 8.7 | |
| ||
artistic | 8.7 | |
| ||
spiritual | 8.6 | |
| ||
cathedral | 8.6 | |
| ||
money | 8.5 | |
| ||
makeup | 8.2 | |
| ||
gold | 8.2 | |
| ||
museum | 8.2 | |
| ||
marble | 8.1 | |
| ||
currency | 8.1 | |
| ||
icon | 7.9 | |
| ||
oriental | 7.8 | |
| ||
traditional | 7.5 | |
| ||
vintage | 7.4 | |
| ||
style | 7.4 | |
| ||
people | 7.2 | |
| ||
color | 7.2 | |
| ||
crown | 7.2 | |
| ||
financial | 7.1 | |
| ||
romantic | 7.1 | |
| ||
interior | 7.1 | |
|
Google
created on 2019-08-10
Art | 83.7 | |
| ||
Painting | 82.7 | |
| ||
Stock photography | 68.5 | |
| ||
Illustration | 64 | |
| ||
History | 54.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 24-38 |
Gender | Female, 91.6% |
Confused | 3.5% |
Disgusted | 11.5% |
Calm | 9.8% |
Angry | 4.7% |
Happy | 0% |
Fear | 5.6% |
Sad | 63.9% |
Surprised | 0.9% |
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 96.3% | |
|
Text analysis
Amazon
Pouroit
Charlot
nais
hors
moy
de
la
dis
peu
vng
lo
Cum
GTi dis vray Charlot nais la Donne de
Donne
Juis
d'aleye
gnuenit
paler
Pouroit bien paler lo playfur: I Car je moy Juis vng tantgIt peu hors loyfir
Mafue gnuenit et fecit Marierte eeud Cum Prtuilegio d'aleye
je
Prtuilegio
et fecit
Car
Marierte
eeud
vray
bien
GTi
loyfir
tantgIt
Mafue
playfur:
I
Donne moy vng peu de loyfi
Car je fuis tantoft hors d'aleyne
TiL dis vray Charlot mais lapeyne
Pouroit bien paler lo play d Cum Priuilegio
MLafue muenie ct fecit
T
Car
d'aleyne
TiL
dis
vray
mais
lapeyne
bien
paler
lo
play
d
Priuilegio
fecit
T
Donne
moy
vng
peu
de
loyfi
je
fuis
tantoft
hors
Charlot
Pouroit
Cum
MLafue
muenie
ct