Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
people | 99.7 | |
| ||
adult | 99.2 | |
| ||
one | 99 | |
| ||
man | 98.4 | |
| ||
vehicle | 96.4 | |
| ||
monochrome | 95.8 | |
| ||
industry | 93.3 | |
| ||
two | 93.1 | |
| ||
grinder | 90.9 | |
| ||
concentration | 90.3 | |
| ||
furniture | 90.3 | |
| ||
indoors | 89.5 | |
| ||
employee | 88.9 | |
| ||
lid | 88.7 | |
| ||
veil | 86.1 | |
| ||
wear | 85.8 | |
| ||
transportation system | 82.2 | |
| ||
scientist | 82 | |
| ||
room | 81.5 | |
| ||
typewriter | 80.2 | |
|
Imagga
created on 2022-01-22
Google
created on 2022-01-22
White | 92.2 | |
| ||
Hat | 91.7 | |
| ||
Fedora | 87.3 | |
| ||
Sun hat | 85 | |
| ||
Cap | 84.3 | |
| ||
Baseball cap | 80.8 | |
| ||
Cooking | 78.4 | |
| ||
Machine | 73.2 | |
| ||
T-shirt | 70.8 | |
| ||
Monochrome photography | 70.8 | |
| ||
Sleeve | 69 | |
| ||
Monochrome | 69 | |
| ||
Engineering | 64.1 | |
| ||
Kitchen appliance | 61.7 | |
| ||
Art | 60.4 | |
| ||
Room | 56.1 | |
| ||
Automotive design | 55.9 | |
| ||
Eyewear | 51.6 | |
|
Microsoft
created on 2022-01-22
text | 99.1 | |
| ||
man | 96 | |
| ||
person | 95.5 | |
| ||
hat | 94.8 | |
| ||
clothing | 93.7 | |
| ||
black and white | 86.5 | |
| ||
fashion accessory | 72.7 | |
| ||
cowboy hat | 64.3 | |
| ||
fedora | 63.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 41-49 |
Gender | Female, 63.3% |
Surprised | 50.4% |
Calm | 38% |
Fear | 6.4% |
Confused | 2.3% |
Angry | 1% |
Sad | 0.9% |
Disgusted | 0.6% |
Happy | 0.4% |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Text analysis
Amazon
PHILLI
EVERLAST
10742.
DAVEG
M 117
M 117 YEAT AFCA
1.
AFCA
YEAT
MI17 YT77A 2 A73A
DAVEG
10742.
YT77A
A73A
MI17
2
DAVEG
10742.