Machine Generated Data
Tags
Amazon
created on 2019-04-19
Clarifai
created on 2019-04-19
no person | 98.2 | |
| ||
one | 97.3 | |
| ||
container | 96.9 | |
| ||
still life | 96.6 | |
| ||
bowl | 95.9 | |
| ||
kitchenware | 94.2 | |
| ||
tableware | 93.8 | |
| ||
food | 93.2 | |
| ||
flame | 93 | |
| ||
light | 91.7 | |
| ||
drink | 89.3 | |
| ||
cup | 88.7 | |
| ||
indoors | 87.9 | |
| ||
cookware | 87.4 | |
| ||
pot | 87.1 | |
| ||
museum | 85.7 | |
| ||
medicine | 85.6 | |
| ||
reflection | 84.9 | |
| ||
desktop | 84.5 | |
| ||
decoration | 83.2 | |
|
Imagga
created on 2019-04-19
Google
created on 2019-04-19
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Male, 56.8% |
Surprised | 0.9% |
Calm | 6% |
Angry | 4.1% |
Confused | 1.8% |
Sad | 86.3% |
Happy | 0.5% |
Disgusted | 0.4% |
Text analysis
Amazon
Lenocesliwell
lolt Lenocesliwell
lolt
CIficer
ecan