Machine Generated Data
Tags
Amazon
created on 2021-12-13
Clarifai
created on 2023-10-15
people | 100 | |
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group together | 99.7 | |
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many | 99.2 | |
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group | 98.6 | |
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child | 97.9 | |
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man | 97.4 | |
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adult | 96.9 | |
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several | 96.5 | |
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street | 95.5 | |
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woman | 94.3 | |
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watercraft | 93.9 | |
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recreation | 91.3 | |
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transportation system | 90.9 | |
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boy | 90.8 | |
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vehicle | 90 | |
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administration | 89.5 | |
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rain | 87.6 | |
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umbrella | 87.1 | |
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water | 87.1 | |
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pool | 87 | |
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Imagga
created on 2021-12-13
water | 28 | |
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ocean | 26.6 | |
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sea | 26.6 | |
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beach | 25.3 | |
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people | 22.9 | |
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skate | 21.8 | |
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sky | 20.6 | |
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lake | 18.3 | |
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city | 18.3 | |
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man | 17.5 | |
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fisherman | 16.4 | |
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travel | 16.2 | |
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winter | 16.2 | |
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boat | 15.9 | |
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snow | 15.7 | |
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summer | 15.4 | |
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coast | 15.3 | |
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shore | 15 | |
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tourism | 14.9 | |
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sand | 14.4 | |
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sunset | 13.5 | |
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landscape | 13.4 | |
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walking | 13.3 | |
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silhouette | 13.2 | |
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vacation | 13.1 | |
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sport | 12.9 | |
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transportation | 12.6 | |
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tourist | 12.5 | |
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river | 12.5 | |
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walk | 12.4 | |
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urban | 12.2 | |
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holiday | 12.2 | |
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cold | 12.1 | |
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activity | 11.6 | |
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fishing | 11.5 | |
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outdoors | 11.4 | |
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sun | 11.3 | |
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pier | 10.9 | |
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tree | 10.9 | |
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group | 10.5 | |
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clouds | 10.1 | |
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world | 10.1 | |
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leisure | 10 | |
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outdoor | 9.9 | |
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fun | 9.7 | |
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scenic | 9.7 | |
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architecture | 9.5 | |
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ship | 9.5 | |
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coastline | 9.4 | |
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season | 9.4 | |
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waves | 9.3 | |
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transport | 9.1 | |
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reflection | 9.1 | |
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day | 8.6 | |
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men | 8.6 | |
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park | 8.3 | |
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speed | 8.2 | |
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shoreline | 8.1 | |
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person | 8 | |
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rock | 7.8 | |
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ice | 7.7 | |
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motion | 7.7 | |
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crowd | 7.7 | |
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resort | 7.6 | |
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relax | 7.6 | |
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vessel | 7.6 | |
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business | 7.3 | |
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child | 7.2 | |
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horizon | 7.2 | |
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recreation | 7.2 | |
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male | 7.2 | |
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Google
created on 2021-12-13
Water | 97.4 | |
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White | 92.2 | |
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Black | 89.7 | |
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Black-and-white | 87.4 | |
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Style | 84.1 | |
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Line | 81.7 | |
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Lake | 79.9 | |
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Adaptation | 79.3 | |
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Tree | 78.7 | |
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Sky | 78.6 | |
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Tints and shades | 76.8 | |
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Monochrome photography | 75.8 | |
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Monochrome | 75.6 | |
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Recreation | 68.1 | |
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Vintage clothing | 68.1 | |
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Stock photography | 66.2 | |
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Visual arts | 64.8 | |
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Rectangle | 63.5 | |
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Crew | 63.2 | |
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Reflection | 62.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-35 |
Gender | Female, 59% |
Calm | 66.8% |
Happy | 19.4% |
Sad | 10.2% |
Confused | 1.7% |
Angry | 0.9% |
Disgusted | 0.4% |
Fear | 0.4% |
Surprised | 0.3% |

AWS Rekognition
Age | 19-31 |
Gender | Male, 61.9% |
Calm | 76.7% |
Sad | 19.4% |
Happy | 2.5% |
Angry | 0.7% |
Fear | 0.3% |
Confused | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
Feature analysis
Categories
Imagga
streetview architecture | 83.1% | |
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nature landscape | 9.8% | |
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interior objects | 3.7% | |
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paintings art | 1.3% | |
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Captions
Microsoft
created on 2021-12-13
a group of people standing next to a river | 91.9% | |
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a group of people that are standing in the water | 89.9% | |
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a group of people standing in a river | 89.8% | |
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