Machine Generated Data
Tags
Amazon
created on 2019-11-15
Clarifai
created on 2019-11-15
street | 99.3 | |
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people | 99.2 | |
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monochrome | 97.8 | |
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man | 94.2 | |
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adult | 93.9 | |
| ||
city | 93.2 | |
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group | 91.2 | |
| ||
road | 89.9 | |
| ||
one | 89.6 | |
| ||
black and white | 86.9 | |
| ||
portrait | 86.7 | |
| ||
group together | 86 | |
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no person | 85.9 | |
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two | 84.9 | |
| ||
urban | 84.7 | |
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architecture | 84.5 | |
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art | 83.1 | |
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woman | 82.4 | |
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business | 82.1 | |
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building | 82 | |
|
Imagga
created on 2019-11-15
street | 43.3 | |
| ||
tramway | 39.8 | |
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city | 36.6 | |
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conveyance | 35.8 | |
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architecture | 33.5 | |
| ||
building | 32.2 | |
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travel | 28.9 | |
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urban | 27.1 | |
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town | 25 | |
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door | 24.6 | |
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sliding door | 24.6 | |
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old | 24.4 | |
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house | 23.4 | |
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road | 16.3 | |
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brick | 16 | |
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streetcar | 16 | |
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sky | 15.9 | |
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movable barrier | 14.9 | |
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tourism | 14.9 | |
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light | 14.7 | |
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snow | 14.7 | |
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lamp | 14.5 | |
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semaphore | 14.4 | |
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transportation | 14.3 | |
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sidewalk | 13.5 | |
| ||
structure | 13.2 | |
| ||
wheeled vehicle | 13 | |
| ||
ancient | 13 | |
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tourist | 12.8 | |
| ||
transport | 12.8 | |
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stone | 12.7 | |
| ||
window | 12.6 | |
| ||
history | 12.5 | |
| ||
vehicle | 12.5 | |
| ||
exterior | 12 | |
| ||
wall | 12 | |
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historic | 11.9 | |
| ||
winter | 11.9 | |
| ||
car | 11.8 | |
| ||
narrow | 11.8 | |
| ||
houses | 11.6 | |
| ||
vacation | 11.5 | |
| ||
barrier | 11.4 | |
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pole | 10.9 | |
| ||
tree | 10.8 | |
| ||
trees | 10.7 | |
| ||
apparatus | 10.7 | |
| ||
antique | 10.4 | |
| ||
rail | 9.8 | |
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night | 9.8 | |
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district | 9.7 | |
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equipment | 9.6 | |
| ||
windows | 9.6 | |
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residential | 9.6 | |
| ||
home | 9.6 | |
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style | 8.9 | |
| ||
train | 8.7 | |
| ||
sea | 8.6 | |
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construction | 8.6 | |
| ||
historical | 8.5 | |
| ||
destination | 8.4 | |
| ||
row | 8.4 | |
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outdoors | 8.2 | |
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cities | 7.8 | |
| ||
lantern | 7.8 | |
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glass | 7.8 | |
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village | 7.7 | |
| ||
buildings | 7.6 | |
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vintage | 7.4 | |
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landscape | 7.4 | |
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park | 7.4 | |
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modern | 7 | |
|
Google
created on 2019-11-15
Photograph | 96.1 | |
| ||
Snapshot | 89.1 | |
| ||
Tree | 86.9 | |
| ||
Black-and-white | 82.7 | |
| ||
Photography | 77.5 | |
| ||
Monochrome | 75.8 | |
| ||
Room | 65.7 | |
| ||
Architecture | 65.5 | |
| ||
Tints and shades | 65.3 | |
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Street | 63.4 | |
| ||
Plant | 58.5 | |
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City | 56.2 | |
| ||
Vehicle | 54.4 | |
| ||
Building | 50.8 | |
| ||
Art | 50.2 | |
|
Microsoft
created on 2019-11-15
sky | 99.4 | |
| ||
outdoor | 98.1 | |
| ||
street | 97.8 | |
| ||
text | 96 | |
| ||
city | 92.4 | |
| ||
black and white | 88.5 | |
| ||
vehicle | 88 | |
| ||
bus | 86.9 | |
| ||
land vehicle | 82 | |
| ||
monochrome | 52 | |
| ||
way | 47.9 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 33-49 |
Gender | Female, 50.1% |
Fear | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Sad | 50.3% |
Confused | 49.5% |
Feature analysis
Text analysis
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