Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 99.4 | |
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Human | 99.4 | |
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Person | 93.3 | |
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Tarmac | 93 | |
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Asphalt | 93 | |
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Person | 90 | |
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Road | 89.6 | |
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Person | 87.3 | |
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Person | 85.3 | |
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Person | 78.5 | |
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Path | 78 | |
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Waterfront | 70.7 | |
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Water | 70.7 | |
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Building | 67.7 | |
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Person | 64.2 | |
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Architecture | 63.4 | |
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Nature | 63.1 | |
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Person | 61.9 | |
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People | 60.2 | |
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Pedestrian | 57 | |
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Pier | 56.4 | |
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Dock | 56.4 | |
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Port | 56.4 | |
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Airfield | 56.4 | |
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Airport | 56.4 | |
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Freeway | 55.1 | |
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Person | 51.1 | |
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Clarifai
created on 2023-10-25
people | 99.4 | |
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many | 99 | |
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vehicle | 98.5 | |
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transportation system | 98.3 | |
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group together | 97.9 | |
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monochrome | 96.2 | |
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watercraft | 95.5 | |
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group | 94.8 | |
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street | 91.3 | |
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man | 91.2 | |
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adult | 90.5 | |
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crowd | 85.7 | |
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bridge | 85.3 | |
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ship | 85.3 | |
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military | 84.8 | |
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city | 82.5 | |
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wear | 81.2 | |
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spectator | 77.2 | |
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water | 75.8 | |
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road | 73.2 | |
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Imagga
created on 2022-01-15
aircraft carrier | 100 | |
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warship | 97.4 | |
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ship | 77.1 | |
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military vehicle | 72.6 | |
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vessel | 53.2 | |
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vehicle | 48.1 | |
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city | 43.3 | |
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architecture | 28.9 | |
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travel | 28.2 | |
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sky | 26.2 | |
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cityscape | 25.6 | |
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tourism | 24.8 | |
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urban | 24.5 | |
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craft | 23.5 | |
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building | 22.6 | |
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water | 22 | |
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landscape | 21.6 | |
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buildings | 20.8 | |
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sea | 20.7 | |
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town | 18.6 | |
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port | 16.4 | |
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skyline | 16.2 | |
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boat | 16.1 | |
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river | 16 | |
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aerial | 15.5 | |
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harbor | 15.4 | |
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landmark | 14.5 | |
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tower | 14.3 | |
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panorama | 14.3 | |
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shore | 14.1 | |
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street | 13.8 | |
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tourist | 13.1 | |
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vacation | 13.1 | |
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road | 12.7 | |
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coast | 12.6 | |
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old | 12.5 | |
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church | 12 | |
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houses | 11.6 | |
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night | 11.6 | |
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downtown | 11.5 | |
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history | 10.7 | |
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roof | 10.5 | |
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summer | 10.3 | |
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clouds | 10.1 | |
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ocean | 10 | |
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boats | 9.7 | |
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scene | 9.5 | |
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famous | 9.3 | |
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structure | 9 | |
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scenic | 8.8 | |
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dock | 8.8 | |
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above | 8.7 | |
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beach | 8.6 | |
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bridge | 8.5 | |
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transportation | 8.1 | |
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homes | 7.9 | |
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construction | 7.7 | |
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panoramic | 7.7 | |
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marine | 7.6 | |
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traffic | 7.6 | |
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evening | 7.5 | |
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center | 7.4 | |
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air | 7.4 | |
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light | 7.4 | |
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transport | 7.3 | |
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sunset | 7.2 | |
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religion | 7.2 | |
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day | 7.1 | |
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Google
created on 2022-01-15
Black | 89.8 | |
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Black-and-white | 83.1 | |
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Building | 79.7 | |
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Adaptation | 79.4 | |
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Tints and shades | 75.7 | |
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Monochrome photography | 75.6 | |
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Monochrome | 74 | |
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Font | 69.1 | |
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Room | 68.7 | |
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Plant | 68.2 | |
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History | 67.5 | |
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Rectangle | 66.9 | |
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Recreation | 66.5 | |
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Tree | 64.6 | |
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Paper product | 63.7 | |
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Photographic paper | 63.3 | |
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Stock photography | 63.2 | |
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Town | 63 | |
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City | 61.7 | |
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Vintage clothing | 60.8 | |
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Microsoft
created on 2022-01-15
text | 99.1 | |
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black and white | 94.8 | |
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white | 76.9 | |
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black | 75.6 | |
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monochrome | 56 | |
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old | 53 | |
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vintage | 35.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-24 |
Gender | Female, 51.8% |
Happy | 38.2% |
Calm | 23.6% |
Sad | 17.4% |
Angry | 12% |
Confused | 4.3% |
Fear | 2.1% |
Surprised | 1.4% |
Disgusted | 1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 63.6% |
Disgusted | 46.7% |
Happy | 23.7% |
Calm | 13.3% |
Angry | 5.2% |
Sad | 4.8% |
Surprised | 2.6% |
Confused | 2.3% |
Fear | 1.5% |
Feature analysis
Categories
Imagga
beaches seaside | 54.4% | |
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streetview architecture | 13.4% | |
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text visuals | 11% | |
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nature landscape | 10.9% | |
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cars vehicles | 7.3% | |
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interior objects | 1.7% | |
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Captions
Microsoft
created on 2022-01-15
a vintage photo of a person | 91.9% | |
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a vintage photo of a person with a racket | 77.6% | |
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a vintage photo of some people on a court | 77.5% | |
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Text analysis
Amazon

47500.

47500.

47500.