Machine Generated Data
Tags
Amazon
created on 2019-03-22
Clarifai
created on 2019-03-22
people | 99.9 | |
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adult | 98.4 | |
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vehicle | 97.2 | |
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one | 96.9 | |
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man | 95.4 | |
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two | 94.4 | |
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group | 94.2 | |
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transportation system | 92.2 | |
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group together | 92 | |
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watercraft | 91.8 | |
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exploration | 88.3 | |
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grinder | 87.5 | |
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military | 86.2 | |
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administration | 86.2 | |
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three | 85.6 | |
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industry | 85.1 | |
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war | 83.3 | |
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many | 81 | |
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wear | 78.7 | |
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monochrome | 78 | |
|
Imagga
created on 2019-03-22
industry | 35 | |
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ship | 34.8 | |
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industrial | 31.8 | |
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equipment | 24.9 | |
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vessel | 22.8 | |
| ||
sky | 21.7 | |
| ||
building | 20.5 | |
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water | 20 | |
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tower | 19.7 | |
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sea | 19.5 | |
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steel | 19.4 | |
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port | 18.3 | |
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harbor | 18.3 | |
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technology | 17.1 | |
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boat | 16.8 | |
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crane | 16.3 | |
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construction | 16.2 | |
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ocean | 14.9 | |
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device | 14.6 | |
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machine | 13.9 | |
| ||
transport | 13.7 | |
| ||
metal | 13.7 | |
| ||
power | 13.4 | |
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work | 13.3 | |
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business | 12.7 | |
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warship | 12.7 | |
| ||
structure | 12.6 | |
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energy | 12.6 | |
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factory | 12.5 | |
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architecture | 12.5 | |
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heavy | 12.4 | |
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shipping | 12.3 | |
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cargo | 11.6 | |
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city | 11.6 | |
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pipe | 11 | |
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transportation | 10.8 | |
| ||
battleship | 10.7 | |
| ||
pollution | 10.6 | |
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urban | 10.5 | |
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oil | 10.2 | |
| ||
travel | 9.9 | |
| ||
dock | 9.7 | |
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station | 9.7 | |
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gas | 9.6 | |
| ||
craft | 9.5 | |
| ||
engineering | 9.5 | |
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sunset | 9 | |
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reflection | 8.9 | |
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refinery | 8.9 | |
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military vehicle | 8.8 | |
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freight | 8.8 | |
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manufacturing | 8.8 | |
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nautical | 8.7 | |
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container | 8.7 | |
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fuel | 8.7 | |
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antenna | 8.7 | |
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modern | 8.4 | |
| ||
old | 8.4 | |
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global | 8.2 | |
| ||
river | 8 | |
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cable | 8 | |
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loading | 7.9 | |
| ||
pump | 7.8 | |
| ||
high | 7.8 | |
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production | 7.8 | |
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marine | 7.6 | |
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house | 7.5 | |
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electronic equipment | 7.5 | |
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iron | 7.5 | |
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street | 7.4 | |
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light | 7.3 | |
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danger | 7.3 | |
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black | 7.2 | |
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coast | 7.2 | |
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night | 7.1 | |
|
Google
created on 2019-03-22
Stock photography | 59.4 | |
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Vehicle | 56.3 | |
|
Microsoft
created on 2019-03-22
black and white | 13.7 | |
| ||
music | 6 | |
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concert | 5.9 | |
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monochrome | 5.5 | |
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street | 3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-52 |
Gender | Male, 50.4% |
Sad | 50.3% |
Surprised | 45.3% |
Calm | 48.1% |
Happy | 45.2% |
Confused | 45.3% |
Disgusted | 45.2% |
Angry | 45.6% |
Feature analysis
Text analysis
Amazon
MJ1--YTT