Machine Generated Data
Tags
Amazon
created on 2019-07-07
Clarifai
created on 2019-07-07
Imagga
created on 2019-07-07
earthenware | 100 | |
| ||
ceramic ware | 86.2 | |
| ||
bowl | 63.2 | |
| ||
utensil | 62.1 | |
| ||
container | 35.8 | |
| ||
vessel | 33.3 | |
| ||
majolica | 32.1 | |
| ||
china | 25.8 | |
| ||
food | 22.9 | |
| ||
porcelain | 22.9 | |
| ||
cup | 19 | |
| ||
kitchen | 16.1 | |
| ||
drink | 15.9 | |
| ||
tea | 15 | |
| ||
decoration | 12.3 | |
| ||
color | 12.2 | |
| ||
meal | 12.2 | |
| ||
brown | 11.8 | |
| ||
round | 11.2 | |
| ||
fresh | 11.1 | |
| ||
nutrition | 10.9 | |
| ||
healthy | 10.7 | |
| ||
object | 10.3 | |
| ||
culture | 10.2 | |
| ||
plate | 10.2 | |
| ||
hot | 10 | |
| ||
yellow | 9.9 | |
| ||
close | 9.7 | |
| ||
tableware | 9.6 | |
| ||
cooking | 9.6 | |
| ||
glass | 9.4 | |
| ||
closeup | 9.4 | |
| ||
taste | 9.3 | |
| ||
wood | 9.2 | |
| ||
cook | 9.1 | |
| ||
old | 9 | |
| ||
silver | 8.8 | |
| ||
breakfast | 8.8 | |
| ||
dish | 8.8 | |
| ||
sweet | 8.7 | |
| ||
orange | 8.4 | |
| ||
pottery | 8 | |
| ||
wooden | 7.9 | |
| ||
ceramic | 7.7 | |
| ||
tasty | 7.5 | |
| ||
traditional | 7.5 | |
| ||
delicious | 7.4 | |
| ||
design | 7.3 | |
| ||
metal | 7.2 | |
| ||
shiny | 7.1 | |
| ||
dessert | 7 | |
|
Google
created on 2019-07-07
Bowl | 96.6 | |
| ||
earthenware | 92.7 | |
| ||
Ceramic | 83.9 | |
| ||
Tableware | 81.9 | |
| ||
Mixing bowl | 80 | |
| ||
Pottery | 78.5 | |
| ||
Porcelain | 56.5 | |
| ||
Dishware | 55.1 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-53 |
Gender | Male, 69% |
Confused | 3.4% |
Calm | 25.7% |
Disgusted | 0.3% |
Surprised | 1.3% |
Sad | 62.5% |
Happy | 3% |
Angry | 3.7% |