Machine Generated Data
Tags
Amazon
created on 2019-03-22
Clarifai
created on 2019-03-22
| people | 100 | |
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| adult | 99.1 | |
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| group | 98.4 | |
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| two | 98.4 | |
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| vehicle | 98.1 | |
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| man | 97.6 | |
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| group together | 97.5 | |
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| three | 97.2 | |
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| military | 96 | |
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| transportation system | 95.9 | |
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| several | 95.9 | |
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| war | 95.7 | |
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| four | 95.5 | |
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| one | 93.9 | |
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| aircraft | 93.8 | |
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| watercraft | 93 | |
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| wear | 92.3 | |
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| administration | 91.9 | |
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| woman | 89 | |
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| soldier | 87.5 | |
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Imagga
created on 2019-03-22
| machinist | 78.9 | |
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| man | 25.5 | |
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| industry | 23.9 | |
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| industrial | 23.6 | |
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| work | 22.8 | |
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| factory | 20.3 | |
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| metal | 18.5 | |
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| steel | 17.7 | |
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| construction | 17.1 | |
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| worker | 16.9 | |
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| old | 16 | |
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| job | 15 | |
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| male | 14.9 | |
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| machine | 14.4 | |
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| building | 14.3 | |
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| working | 13.3 | |
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| person | 12.2 | |
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| safety | 12 | |
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| uniform | 12 | |
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| people | 11.7 | |
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| labor | 11.7 | |
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| architecture | 10.9 | |
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| dirty | 10.8 | |
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| iron | 10.3 | |
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| power | 10.1 | |
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| welder | 9.9 | |
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| equipment | 9.9 | |
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| manufacturing | 9.8 | |
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| business | 9.7 | |
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| helmet | 9.6 | |
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| skill | 9.6 | |
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| engineering | 9.5 | |
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| men | 9.4 | |
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| structure | 9.2 | |
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| vintage | 9.1 | |
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| protection | 9.1 | |
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| engineer | 9.1 | |
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| welding | 8.9 | |
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| mechanic | 8.8 | |
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| tool | 8.7 | |
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| light | 8.7 | |
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| house | 8.4 | |
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| technology | 8.2 | |
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| military uniform | 8.1 | |
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| machinery | 7.8 | |
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| mechanical | 7.8 | |
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| engine | 7.7 | |
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| war | 7.7 | |
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| repair | 7.7 | |
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| concrete | 7.7 | |
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| wheel | 7.6 | |
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| city | 7.5 | |
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| clothing | 7.5 | |
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| smoke | 7.4 | |
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| occupation | 7.3 | |
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| vehicle | 7.3 | |
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| black | 7.2 | |
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| transportation | 7.2 | |
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| to | 7.1 | |
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| sky | 7 | |
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Google
created on 2023-10-30
| Adaptation | 79.2 | |
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| Monochrome | 69.7 | |
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| Monochrome photography | 67.9 | |
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| Event | 65.5 | |
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| History | 65.1 | |
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| Stock photography | 63.9 | |
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| Vintage clothing | 63.1 | |
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| T-shirt | 60.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 99.4% |
| Happy | 29% |
| Sad | 4% |
| Calm | 45.4% |
| Disgusted | 0.8% |
| Surprised | 4.3% |
| Confused | 11.5% |
| Angry | 5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 80.3% |
| Happy | 8.5% |
| Surprised | 4.1% |
| Calm | 53.6% |
| Angry | 6.6% |
| Confused | 4.7% |
| Sad | 15.5% |
| Disgusted | 6.8% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| people portraits | 86.4% | |
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| paintings art | 9% | |
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| events parties | 2.2% | |
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Captions
Microsoft
created on 2019-03-22
| a man sitting on a bench | 63.9% | |
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| a man sitting in a chair | 63.8% | |
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| a man sitting on a bench looking at the camera | 56.2% | |
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Text analysis
Amazon
US ARMY
U.S.ARMY