Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 99.3 | |
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Human | 99.3 | |
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Person | 98.8 | |
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Handrail | 95.6 | |
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Banister | 95.6 | |
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Building | 88.6 | |
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Clothing | 75.6 | |
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Apparel | 75.6 | |
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Shop | 73.7 | |
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Furniture | 71.4 | |
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Car | 68.8 | |
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Transportation | 68.8 | |
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Vehicle | 68.8 | |
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Automobile | 68.8 | |
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Railing | 68.2 | |
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Path | 63.7 | |
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Neighborhood | 63.7 | |
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Urban | 63.7 | |
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Outdoors | 62.1 | |
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Plant | 60.9 | |
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Table | 59.6 | |
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Dining Table | 59.6 | |
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Shorts | 59.1 | |
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Sleeve | 57.3 | |
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Office Building | 55.7 | |
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Road | 55.1 | |
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Clarifai
created on 2023-10-25
monochrome | 98.8 | |
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people | 98.5 | |
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man | 96.9 | |
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street | 95.1 | |
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adult | 93.6 | |
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bridge | 93.5 | |
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woman | 93.2 | |
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vehicle | 91.2 | |
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transportation system | 90.4 | |
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architecture | 87.7 | |
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city | 86.6 | |
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furniture | 85.7 | |
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group | 84.8 | |
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watercraft | 84.5 | |
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indoors | 84.4 | |
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travel | 83.8 | |
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group together | 83.7 | |
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building | 81 | |
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landscape | 80.6 | |
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water | 79.8 | |
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Imagga
created on 2022-01-09
city | 27.4 | |
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building | 25.1 | |
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architecture | 22.9 | |
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technology | 20.8 | |
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modern | 19.6 | |
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urban | 19.2 | |
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business | 18.2 | |
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structure | 16.1 | |
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plaza | 15.8 | |
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park | 14.1 | |
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digital | 13.8 | |
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graphics | 13.7 | |
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traffic | 13.3 | |
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effects | 13.3 | |
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three dimensional | 13.1 | |
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travel | 12.7 | |
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night | 12.4 | |
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interior | 12.4 | |
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office | 12.3 | |
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bridge | 12.2 | |
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sky | 12.1 | |
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light | 12 | |
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construction | 12 | |
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street | 12 | |
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facility | 11.7 | |
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tower | 11.6 | |
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3d | 11.6 | |
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gymnasium | 11.5 | |
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industry | 11.1 | |
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transport | 11 | |
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road | 10.8 | |
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transportation | 10.8 | |
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deck | 10.7 | |
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ship | 10.5 | |
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new | 10.5 | |
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equipment | 10.4 | |
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steel | 9.7 | |
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athletic facility | 9.6 | |
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computer | 9.6 | |
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tract | 9.6 | |
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chart | 9.6 | |
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high | 9.5 | |
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hall | 9.1 | |
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station | 9 | |
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design | 9 | |
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line | 9 | |
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futuristic | 9 | |
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work | 8.6 | |
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cityscape | 8.5 | |
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buildings | 8.5 | |
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vehicle | 8.5 | |
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finance | 8.4 | |
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town | 8.3 | |
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tourism | 8.2 | |
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supermarket | 8.1 | |
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financial | 8 | |
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market | 8 | |
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display | 7.9 | |
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highway | 7.7 | |
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engineering | 7.6 | |
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skyline | 7.6 | |
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power | 7.6 | |
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waterfront | 7.5 | |
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frame | 7.5 | |
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famous | 7.4 | |
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inside | 7.4 | |
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film | 7.3 | |
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industrial | 7.3 | |
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metal | 7.2 | |
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landmark | 7.2 | |
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growth | 7 | |
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Google
created on 2022-01-09
Black | 89.6 | |
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Black-and-white | 86.6 | |
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Style | 84 | |
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Building | 81.9 | |
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Tree | 80.9 | |
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Vehicle | 80.2 | |
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Monochrome | 77.5 | |
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Tints and shades | 77 | |
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Monochrome photography | 76.2 | |
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Road | 73.5 | |
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Art | 72.9 | |
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Room | 69.9 | |
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Motor vehicle | 69.9 | |
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Font | 66.4 | |
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Street | 66.1 | |
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City | 63.5 | |
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Illustration | 62.9 | |
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Stock photography | 62.1 | |
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Car | 61.7 | |
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Machine | 58.5 | |
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Microsoft
created on 2022-01-09
text | 96.7 | |
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black and white | 58.4 | |
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cartoon | 53 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 24-34 |
Gender | Male, 59% |
Happy | 69.6% |
Sad | 24.4% |
Calm | 4.6% |
Confused | 0.5% |
Surprised | 0.4% |
Disgusted | 0.2% |
Angry | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 67.3% |
Happy | 67.4% |
Surprised | 17.2% |
Calm | 13.2% |
Angry | 1.2% |
Disgusted | 0.5% |
Confused | 0.2% |
Sad | 0.1% |
Fear | 0.1% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | 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
interior objects | 32.1% | |
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nature landscape | 25.5% | |
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streetview architecture | 16.6% | |
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paintings art | 12.3% | |
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beaches seaside | 5% | |
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pets animals | 2.6% | |
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cars vehicles | 2.1% | |
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people portraits | 1.1% | |
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food drinks | 1.1% | |
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Captions
Microsoft
created on 2022-01-09
a person standing on a table | 30.2% | |
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a group of people standing around a table | 30.1% | |
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a person standing in front of a table | 30% | |
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Text analysis
Amazon

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