Machine Generated Data
Tags
Amazon
created on 2019-11-11
| Musical Instrument | 99.7 | |
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| Tuba | 99.7 | |
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| Brass Section | 99.7 | |
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| Euphonium | 99.7 | |
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| Horn | 99.7 | |
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| Human | 97.8 | |
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| Person | 97.8 | |
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| Person | 92.4 | |
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| Person | 44.5 | |
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Clarifai
created on 2019-11-11
Imagga
created on 2019-11-11
| bass | 73.7 | |
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| brass | 53.5 | |
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| wind instrument | 42.7 | |
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| sax | 36.1 | |
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| musical instrument | 25.9 | |
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| baritone | 23.9 | |
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| metal | 20.1 | |
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| machine | 19.8 | |
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| industrial | 19 | |
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| music | 18.6 | |
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| man | 16.8 | |
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| steel | 16.8 | |
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| gramophone | 16.3 | |
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| industry | 16.2 | |
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| device | 15.7 | |
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| technology | 15.6 | |
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| factory | 15.4 | |
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| black | 13.8 | |
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| protection | 13.6 | |
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| military | 13.5 | |
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| record player | 13.1 | |
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| cornet | 12.9 | |
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| safety | 12.9 | |
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| soldier | 12.7 | |
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| mask | 12.6 | |
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| worker | 12.4 | |
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| male | 12 | |
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| work | 11.8 | |
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| manufacturing | 11.7 | |
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| war | 10.6 | |
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| smoke | 10.2 | |
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| power | 10.1 | |
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| light | 10 | |
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| danger | 10 | |
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| welding | 9.9 | |
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| equipment | 9.8 | |
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| gun | 9.8 | |
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| uniform | 9.7 | |
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| gas | 9.6 | |
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| welder | 8.9 | |
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| musician | 8.8 | |
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| job | 8.8 | |
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| helmet | 8.8 | |
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| concert | 8.7 | |
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| rock | 8.7 | |
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| skill | 8.7 | |
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| engine | 8.7 | |
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| protect | 8.7 | |
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| musical | 8.6 | |
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| modern | 8.4 | |
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| future | 8.4 | |
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| hot | 8.4 | |
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| hand | 8.4 | |
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| person | 8.3 | |
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| occupation | 8.2 | |
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| horn | 8.2 | |
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| retro | 8.2 | |
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| transportation | 8.1 | |
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| weld | 7.9 | |
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| weapon | 7.8 | |
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| pipe | 7.8 | |
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| 3d | 7.7 | |
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| engineering | 7.6 | |
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| sound | 7.5 | |
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| instrument | 7.5 | |
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| trombone | 7.1 | |
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Google
created on 2019-11-11
| Brass instrument | 90 | |
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| Sousaphone | 80.6 | |
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| Stock photography | 67.6 | |
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| Photography | 62.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 39-57 |
| Gender | Male, 54% |
| Sad | 49.5% |
| Calm | 47.3% |
| Surprised | 45.6% |
| Confused | 45.3% |
| Fear | 45.5% |
| Happy | 46% |
| Disgusted | 45.1% |
| Angry | 45.6% |
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 50.8% |
| Angry | 45.2% |
| Confused | 45.1% |
| Fear | 45.1% |
| Disgusted | 45.2% |
| Calm | 51.1% |
| Happy | 45.3% |
| Surprised | 45.1% |
| Sad | 48% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 52.3% |
| Disgusted | 45% |
| Sad | 45% |
| Fear | 45.1% |
| Surprised | 52% |
| Happy | 45% |
| Calm | 47.8% |
| Confused | 45.1% |
| Angry | 45% |
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 53.5% |
| Angry | 6.2% |
| Sad | 18% |
| Disgusted | 1.7% |
| Surprised | 12.5% |
| Happy | 7.4% |
| Fear | 21.5% |
| Calm | 30.7% |
| Confused | 2% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 81.4% | |
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| streetview architecture | 15.2% | |
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| interior objects | 2.8% | |
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Captions
Microsoft
created on 2019-11-11
| a group of people in front of a mirror posing for the camera | 36.2% | |
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| a group of people standing in front of a mirror | 36.1% | |
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| a group of people in front of a mirror | 36% | |
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Text analysis
SP
SP