Machine Generated Data
Tags
Amazon
created on 2019-10-29
Clarifai
created on 2019-10-29
vintage | 99.3 | |
| ||
99.1 | ||
| ||
ship | 98.5 | |
| ||
watercraft | 97.7 | |
| ||
art | 97.7 | |
| ||
old | 97.2 | |
| ||
illustration | 97.2 | |
| ||
retro | 96.8 | |
| ||
boat | 95.9 | |
| ||
water | 95.1 | |
| ||
antique | 94.6 | |
| ||
paper | 94 | |
| ||
sea | 92.8 | |
| ||
sepia pigment | 88.3 | |
| ||
industry | 88.1 | |
| ||
transportation system | 86.8 | |
| ||
vehicle | 86.7 | |
| ||
engraving | 86.2 | |
| ||
no person | 85 | |
| ||
chalk out | 80 | |
|
Imagga
created on 2019-10-29
Google
created on 2019-10-29
Vehicle | 74.5 | |
| ||
Drawing | 60.7 | |
| ||
Artwork | 59.1 | |
| ||
Art | 58.1 | |
| ||
Illustration | 57.7 | |
|
Color Analysis
Feature analysis
Amazon
Boat | 77.2% | |
|
Text analysis
Amazon
VAD
.03
Cambridge 91
Cambridge 91 I925
louali
.03 VAD 3
I925
3
Cambridge in5
3.S.Jablenalei
Cambridge
in5
3.S.Jablenalei