Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 99.2 | |
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Human | 99.2 | |
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Person | 98.9 | |
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Person | 98.8 | |
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Nature | 98 | |
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Person | 96.6 | |
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Outdoors | 94.9 | |
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Person | 90.1 | |
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Weather | 86.7 | |
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Person | 81.5 | |
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Person | 81.4 | |
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Tree | 79.4 | |
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Plant | 79.4 | |
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Road | 74.2 | |
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Person | 66.6 | |
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Shelter | 66.3 | |
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Countryside | 66.3 | |
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Rural | 66.3 | |
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Building | 66.3 | |
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Tarmac | 64 | |
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Asphalt | 64 | |
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People | 62.4 | |
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Transportation | 61.7 | |
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Vehicle | 61.4 | |
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Palm Tree | 59.9 | |
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Arecaceae | 59.9 | |
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LCD Screen | 58.4 | |
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Electronics | 58.4 | |
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Screen | 58.4 | |
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Monitor | 58.4 | |
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Display | 58.4 | |
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Cumulus | 56.9 | |
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Sky | 56.9 | |
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Cloud | 56.9 | |
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Landscape | 56.2 | |
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Person | 56.2 | |
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Urban | 56 | |
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Clarifai
created on 2023-10-25
people | 99.1 | |
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monochrome | 97.9 | |
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group | 96 | |
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vehicle | 92.8 | |
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many | 92.4 | |
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man | 91.3 | |
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adult | 90.6 | |
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music | 89.9 | |
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watercraft | 89.6 | |
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group together | 87.3 | |
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transportation system | 86.6 | |
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speaker | 86 | |
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smoke | 85 | |
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loud | 81.7 | |
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beach | 79.9 | |
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no person | 78.7 | |
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vintage | 78.3 | |
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war | 77 | |
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musician | 76.8 | |
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crowd | 75.6 | |
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Imagga
created on 2022-01-09
stage | 54.2 | |
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billboard | 43.7 | |
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platform | 43 | |
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signboard | 35.4 | |
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structure | 31.4 | |
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sky | 31.3 | |
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cloud | 27.6 | |
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night | 24 | |
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landscape | 22.3 | |
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clouds | 20.3 | |
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water | 18.7 | |
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sunset | 17.1 | |
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smoke | 16.7 | |
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light | 16.7 | |
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travel | 15.5 | |
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beach | 15.2 | |
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ocean | 15.1 | |
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city | 14.1 | |
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sea | 14.1 | |
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sunrise | 14.1 | |
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factory | 13.5 | |
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power | 13.4 | |
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architecture | 13.3 | |
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environment | 13.2 | |
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scene | 13 | |
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industrial | 12.7 | |
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television | 12.6 | |
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pollution | 12.5 | |
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tourism | 12.4 | |
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sun | 12.1 | |
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car mirror | 12 | |
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blackboard | 11.6 | |
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chemical | 11.6 | |
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vacation | 11.5 | |
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industry | 11.1 | |
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danger | 10.9 | |
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dark | 10.9 | |
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coast | 10.8 | |
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river | 10.7 | |
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steam | 10.7 | |
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mirror | 10.2 | |
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building | 9.9 | |
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outdoor | 9.9 | |
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silhouette | 9.9 | |
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scenery | 9.9 | |
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horizon | 9.9 | |
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toxic | 9.8 | |
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summer | 9.6 | |
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dusk | 9.5 | |
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day | 9.4 | |
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lake | 9.3 | |
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energy | 9.3 | |
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tree | 9.2 | |
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air | 9.2 | |
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tower | 9 | |
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chimney | 8.8 | |
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sand | 8.7 | |
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fog | 8.7 | |
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black | 8.4 | |
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evening | 8.4 | |
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famous | 8.4 | |
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old | 8.4 | |
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street | 8.3 | |
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park | 8.2 | |
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history | 8.1 | |
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holiday | 7.9 | |
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color | 7.8 | |
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wave | 7.8 | |
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dawn | 7.7 | |
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construction | 7.7 | |
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storm | 7.7 | |
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winter | 7.7 | |
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coastline | 7.5 | |
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boat | 7.4 | |
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island | 7.3 | |
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broadcasting | 7.3 | |
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dirty | 7.2 | |
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landmark | 7.2 | |
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reflector | 7.2 | |
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scenic | 7 | |
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Google
created on 2022-01-09
Plant | 93.9 | |
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Cloud | 93.7 | |
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Sky | 91.7 | |
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Drum | 89.9 | |
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Black-and-white | 84.5 | |
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Tree | 84.2 | |
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Style | 83.9 | |
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Arecales | 82.3 | |
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Chair | 82.3 | |
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Font | 79.7 | |
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Adaptation | 79.4 | |
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Musical instrument | 78.6 | |
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Tints and shades | 77.3 | |
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Monochrome photography | 75.1 | |
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Monochrome | 74.6 | |
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Art | 71 | |
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Room | 69.4 | |
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Palm tree | 69.2 | |
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Rectangle | 69.2 | |
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Event | 68.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-24 |
Gender | Female, 86.7% |
Sad | 43.1% |
Calm | 41% |
Happy | 6.8% |
Fear | 3.7% |
Confused | 2.2% |
Disgusted | 1.2% |
Angry | 1.1% |
Surprised | 0.9% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 80.1% |
Angry | 62.1% |
Calm | 11.6% |
Sad | 8.7% |
Confused | 7.4% |
Fear | 5% |
Disgusted | 3.3% |
Happy | 1% |
Surprised | 0.8% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Calm | 97.7% |
Sad | 1% |
Surprised | 0.7% |
Angry | 0.3% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Confused | 0% |
Feature analysis
Categories
Imagga
text visuals | 80.2% | |
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nature landscape | 13.5% | |
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streetview architecture | 2.6% | |
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Captions
Microsoft
created on 2022-01-09
a vintage photo of a group of people on a boat | 44.3% | |
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a vintage photo of a person | 44.2% | |
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a vintage photo of some people | 44.1% | |
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Text analysis
Amazon

44587

MIII-

445 87

445

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