Machine Generated Data
Tags
Amazon
Clarifai
Imagga
sketch | 100 | |
| ||
drawing | 88.2 | |
| ||
representation | 63.1 | |
| ||
vintage | 27.3 | |
| ||
retro | 23.7 | |
| ||
old | 21.6 | |
| ||
paper | 18.8 | |
| ||
grunge | 18.7 | |
| ||
art | 18.2 | |
| ||
ancient | 18.1 | |
| ||
architecture | 17.2 | |
| ||
design | 15.7 | |
| ||
silhouette | 15.7 | |
| ||
finance | 15.2 | |
| ||
antique | 14.7 | |
| ||
frame | 14.1 | |
| ||
currency | 13.4 | |
| ||
business | 13.3 | |
| ||
letter | 12.8 | |
| ||
construction | 12.8 | |
| ||
aged | 12.7 | |
| ||
structure | 12.5 | |
| ||
graphic | 12.4 | |
| ||
black | 12 | |
| ||
money | 11.9 | |
| ||
bank | 11.6 | |
| ||
stamp | 11.6 | |
| ||
11.5 | ||
| ||
dollar | 11.1 | |
| ||
building | 11.1 | |
| ||
circa | 10.8 | |
| ||
postmark | 10.8 | |
| ||
history | 10.7 | |
| ||
border | 9.9 | |
| ||
philately | 9.9 | |
| ||
postage | 9.8 | |
| ||
material | 9.8 | |
| ||
postal | 9.8 | |
| ||
texture | 9.7 | |
| ||
card | 9.3 | |
| ||
wealth | 9 | |
| ||
line | 8.7 | |
| ||
man | 8.7 | |
| ||
text | 8.7 | |
| ||
sculpture | 8.7 | |
| ||
architect | 8.7 | |
| ||
treasury | 8.7 | |
| ||
us | 8.7 | |
| ||
bill | 8.5 | |
| ||
male | 8.5 | |
| ||
facility | 8.5 | |
| ||
travel | 8.4 | |
| ||
rich | 8.4 | |
| ||
people | 8.4 | |
| ||
house | 8.3 | |
| ||
city | 8.3 | |
| ||
pattern | 8.2 | |
| ||
shape | 8.2 | |
| ||
financial | 8 | |
| ||
envelope | 8 | |
| ||
engineering | 7.6 | |
| ||
decorative | 7.5 | |
| ||
commerce | 7.5 | |
| ||
element | 7.4 | |
| ||
classic | 7.4 | |
| ||
symbol | 7.4 | |
| ||
sale | 7.4 | |
| ||
exterior | 7.4 | |
| ||
cash | 7.3 | |
| ||
message | 7.3 | |
| ||
figure | 7.2 | |
| ||
paint | 7.2 | |
| ||
success | 7.2 | |
| ||
office | 7.2 | |
| ||
tower | 7.2 | |
| ||
modern | 7 | |
|
Art | 58.1 | |
| ||
Illustration | 54.5 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 23-35 |
Gender | Male, 52.1% |
Calm | 45.3% |
Surprised | 45.3% |
Confused | 45% |
Happy | 49.9% |
Disgusted | 45.4% |
Fear | 46.9% |
Sad | 45.1% |
Angry | 46.9% |
Feature analysis
Text analysis
Amazon

que

mourir

ne

puisse

ete

a

la,expres

pas

il

je

_Oh! le il ete mourir je

le

15

l'avoir!....

jueux. a la,expres pour que ne puisse pas l'avoir!.... L27

52.

_Oh!

jueux.

Lith

Destouches

SNOILO

Nattinet

b laradis

172.3

BICVLEN

L27

pour

Nevvenne

Nattinet 172.3 Bvdi E4T Nevvenne Lith Destouches b laradis

E4T

82

Bvdi

E

EMOTIONS DE CHASSE
15
152
Martinet 17t,. Kivoh et 4i7 venne
Lith Destouches 2taradis P Paris
_0h! le gueux. .l a été mourir là,exprès pour que je ne puisse pas l'avoir!..

DE

CHASSE

152

P

EMOTIONS

le

l'avoir!..

15

17t,.

4i7

_0h!

gueux.

a

pour

je

Martinet

Kivoh

Destouches

Paris

été

mourir

là,exprès

ne

et

venne

Lith

2taradis

.l

que

puisse

pas