Machine Generated Data
Tags
Amazon
created on 2019-08-10
Clarifai
created on 2019-08-10
negative | 99.8 | |
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filmstrip | 99.2 | |
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exposed | 99 | |
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picture frame | 98.2 | |
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movie | 97.6 | |
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slide | 96.9 | |
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desktop | 95.6 | |
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photograph | 94.5 | |
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emulsion | 94.2 | |
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old | 93.9 | |
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cinematography | 93.2 | |
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roll | 92.9 | |
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retro | 92.1 | |
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margin | 91.3 | |
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art | 89.9 | |
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collage | 89 | |
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image | 88 | |
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antique | 87.4 | |
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illustration | 85.2 | |
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dirty | 85.1 | |
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Imagga
created on 2019-08-10
turnstile | 53.1 | |
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gate | 43.7 | |
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movable barrier | 32 | |
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barrier | 21.8 | |
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building | 20.3 | |
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city | 19.9 | |
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modern | 18.9 | |
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urban | 18.3 | |
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architecture | 18 | |
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business | 15.8 | |
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art | 15.7 | |
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black | 15.6 | |
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high | 15.6 | |
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old | 13.2 | |
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tall | 13.2 | |
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design | 12.9 | |
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industry | 12.8 | |
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server | 12.7 | |
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structure | 12.7 | |
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device | 12.6 | |
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texture | 12.5 | |
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glass | 12.4 | |
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skyscraper | 12.3 | |
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frame | 11.8 | |
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buildings | 11.3 | |
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obstruction | 11.1 | |
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film | 10.8 | |
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window | 10.8 | |
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equipment | 10.7 | |
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light | 10.7 | |
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new | 10.5 | |
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screen | 10.4 | |
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construction | 10.3 | |
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metal | 9.6 | |
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technology | 9.6 | |
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office | 9.6 | |
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pattern | 9.6 | |
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security | 9.2 | |
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locker | 9.1 | |
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digital | 8.9 | |
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detail | 8.8 | |
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downtown | 8.6 | |
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windows | 8.6 | |
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apartment | 8.6 | |
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cityscape | 8.5 | |
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sky | 8.3 | |
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fastener | 8.2 | |
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retro | 8.2 | |
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display | 8.1 | |
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tire | 8.1 | |
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futuristic | 8.1 | |
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tower | 8 | |
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interior | 8 | |
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strip | 7.9 | |
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35mm | 7.9 | |
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photographic | 7.8 | |
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work | 7.8 | |
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background | 7.8 | |
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space | 7.8 | |
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movie | 7.7 | |
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corporate | 7.7 | |
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wall | 7.7 | |
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damaged | 7.6 | |
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power | 7.5 | |
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close | 7.4 | |
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glow | 7.4 | |
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exterior | 7.4 | |
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backgrounds | 7.3 | |
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lines | 7.2 | |
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bright | 7.1 | |
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steel | 7.1 | |
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cable | 7.1 | |
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negative | 7 | |
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Google
created on 2019-08-10
Postage stamp | 83 | |
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Paper product | 59.4 | |
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Fictional character | 58.6 | |
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Spiral | 57.9 | |
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Negative | 55.7 | |
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Microsoft
created on 2019-08-10
text | 98.8 | |
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screenshot | 94.4 | |
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poster | 60 | |
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cooked | 9.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-32 |
Gender | Male, 55% |
Disgusted | 45% |
Calm | 55% |
Fear | 45% |
Angry | 45% |
Happy | 45% |
Confused | 45% |
Sad | 45% |
Surprised | 45% |

AWS Rekognition
Age | 28-44 |
Gender | Male, 92.5% |
Confused | 0.6% |
Calm | 0.1% |
Surprised | 0.3% |
Disgusted | 0.1% |
Happy | 0% |
Fear | 28.2% |
Angry | 70.5% |
Sad | 0.2% |

AWS Rekognition
Age | 31-47 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Sad | 49.5% |
Angry | 49.5% |
Calm | 50.1% |
Happy | 49.5% |
Confused | 49.5% |
Fear | 49.5% |
Surprised | 49.8% |
Feature analysis
Categories
Imagga
interior objects | 73.5% | |
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paintings art | 17.3% | |
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text visuals | 4.8% | |
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food drinks | 1.6% | |
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streetview architecture | 1.2% | |
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events parties | 1.1% | |
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Captions
Text analysis
Amazon

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