Machine Generated Data
Tags
Amazon
Clarifai
Imagga
locker | 49.6 | |
| ||
device | 41.4 | |
| ||
fastener | 40 | |
| ||
restraint | 30.7 | |
| ||
call | 29.1 | |
| ||
elevator | 27.6 | |
| ||
man | 23.5 | |
| ||
lifting device | 22.1 | |
| ||
male | 22.1 | |
| ||
person | 20.4 | |
| ||
people | 20.1 | |
| ||
old | 18.8 | |
| ||
adult | 18.8 | |
| ||
door | 17.5 | |
| ||
portrait | 17.5 | |
| ||
black | 16.9 | |
| ||
telephone | 16.1 | |
| ||
pay-phone | 14.1 | |
| ||
wall | 12.8 | |
| ||
urban | 12.2 | |
| ||
fashion | 12.1 | |
| ||
human | 12 | |
| ||
home | 12 | |
| ||
one | 11.9 | |
| ||
house | 11.7 | |
| ||
smile | 11.4 | |
| ||
face | 11.4 | |
| ||
building | 11.3 | |
| ||
vintage | 10.7 | |
| ||
happy | 10.6 | |
| ||
room | 10.4 | |
| ||
electronic equipment | 10.4 | |
| ||
model | 10.1 | |
| ||
cute | 10 | |
| ||
city | 10 | |
| ||
pretty | 9.8 | |
| ||
attractive | 9.8 | |
| ||
couple | 9.6 | |
| ||
hair | 9.5 | |
| ||
expression | 9.4 | |
| ||
architecture | 9.4 | |
| ||
guy | 9.3 | |
| ||
alone | 9.1 | |
| ||
lady | 8.9 | |
| ||
sexy | 8.8 | |
| ||
sitting | 8.6 | |
| ||
serious | 8.6 | |
| ||
child | 8.6 | |
| ||
elegance | 8.4 | |
| ||
equipment | 8.3 | |
| ||
outdoors | 8.2 | |
| ||
girls | 8.2 | |
| ||
dirty | 8.1 | |
| ||
looking | 8 | |
| ||
interior | 8 | |
| ||
job | 8 | |
| ||
business | 7.9 | |
| ||
love | 7.9 | |
| ||
industry | 7.7 | |
| ||
grunge | 7.7 | |
| ||
casual | 7.6 | |
| ||
refrigerator | 7.6 | |
| ||
wood | 7.5 | |
| ||
detail | 7.2 | |
| ||
machine | 7.1 | |
|
Black | 96.3 | |
| ||
White | 96.3 | |
| ||
Photograph | 95.8 | |
| ||
Black-and-white | 94.1 | |
| ||
Monochrome | 93.5 | |
| ||
People | 93.1 | |
| ||
Sitting | 86.2 | |
| ||
Transport | 85.1 | |
| ||
Snapshot | 84.9 | |
| ||
Monochrome photography | 84.4 | |
| ||
Human | 76.9 | |
| ||
Photography | 74.8 | |
| ||
Street | 72.9 | |
| ||
Infrastructure | 71.7 | |
| ||
Style | 57.4 | |
| ||
Window | 56.8 | |
|
Microsoft
person | 99.7 | |
| ||
human face | 98 | |
| ||
clothing | 97 | |
| ||
text | 96.5 | |
| ||
sitting | 96.3 | |
| ||
black and white | 95.8 | |
| ||
man | 90.5 | |
| ||
monochrome | 60.5 | |
| ||
old | 52.1 | |
|
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 33-49 |
Gender | Female, 93.5% |
Angry | 1% |
Calm | 2.6% |
Fear | 0.9% |
Surprised | 0.2% |
Sad | 43.9% |
Confused | 1.7% |
Happy | 0.2% |
Disgusted | 49.4% |

Microsoft Cognitive Services
Age | 35 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Possible |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon

Person | 96.9% | |
|
Captions
Microsoft
a person sitting in front of a building | 76.4% | |
| ||
a person sitting on a bench in front of a building | 64.1% | |
| ||
a person sitting on a bench in front of a building | 55.4% | |
|
Text analysis
Amazon

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