Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
people | 98.7 | |
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no person | 97.7 | |
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vehicle | 94.3 | |
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group | 91.2 | |
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monochrome | 91 | |
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furniture | 90.3 | |
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transportation system | 88.6 | |
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industry | 85.9 | |
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business | 85.7 | |
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many | 85.1 | |
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man | 85.1 | |
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two | 84.4 | |
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indoors | 84.2 | |
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group together | 82.9 | |
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water | 80.9 | |
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street | 80.6 | |
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architecture | 79.2 | |
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restaurant | 79.1 | |
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chair | 78.7 | |
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war | 78.4 | |
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Imagga
created on 2019-06-05
interior | 39.8 | |
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modern | 28 | |
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building | 27.7 | |
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chair | 25.8 | |
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architecture | 25 | |
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inside | 23.9 | |
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furniture | 23.6 | |
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structure | 22.8 | |
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table | 22 | |
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urban | 21.8 | |
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office | 21.5 | |
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room | 20.6 | |
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house | 20.1 | |
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window | 19.7 | |
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steel | 19.7 | |
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city | 18.3 | |
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business | 18.2 | |
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hall | 17.8 | |
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floor | 17.7 | |
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wood | 17.5 | |
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light | 17.4 | |
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glass | 16.3 | |
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empty | 16.3 | |
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restaurant | 16 | |
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airport | 15 | |
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construction | 14.5 | |
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home | 14.4 | |
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equipment | 14 | |
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seat | 13.7 | |
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indoor | 13.7 | |
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industry | 13.7 | |
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design | 13.5 | |
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metal | 12.9 | |
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station | 12.8 | |
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reflection | 12.4 | |
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indoors | 12.3 | |
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chairs | 11.8 | |
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gate | 11.7 | |
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sky | 11.5 | |
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wall | 11.4 | |
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plant | 11.3 | |
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sun | 11.3 | |
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counter | 11.2 | |
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factory | 10.9 | |
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corridor | 10.8 | |
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luxury | 10.3 | |
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industrial | 10 | |
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travel | 9.9 | |
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patio | 9.8 | |
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deck | 9.8 | |
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technology | 9.6 | |
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scene | 9.5 | |
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work | 9.5 | |
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day | 9.4 | |
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cafeteria | 9.2 | |
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futuristic | 9 | |
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transportation | 9 | |
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decor | 8.8 | |
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roof | 8.6 | |
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living | 8.5 | |
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perspective | 8.5 | |
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people | 8.4 | |
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device | 8.2 | |
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lamp | 7.9 | |
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mall | 7.8 | |
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nobody | 7.8 | |
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3d | 7.7 | |
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built | 7.7 | |
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apartment | 7.7 | |
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residential | 7.7 | |
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comfortable | 7.6 | |
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silhouette | 7.5 | |
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place | 7.4 | |
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door | 7.2 | |
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Google
created on 2019-06-05
Text | 85.2 | |
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Room | 74.4 | |
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Design | 73 | |
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Architecture | 72.6 | |
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Building | 63.1 | |
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Interior design | 62.5 | |
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Furniture | 53.3 | |
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Color Analysis
Face analysis
Amazon
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AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Angry | 49.5% |
Surprised | 50% |
Calm | 49.5% |
Happy | 49.7% |
Confused | 49.6% |
Disgusted | 49.5% |
Sad | 49.6% |
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AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Sad | 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
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AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Disgusted | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Sad | 49.8% |
Angry | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 50% |
Disgusted | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 50.1% | |
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streetview architecture | 20.2% | |
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cars vehicles | 12.8% | |
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interior objects | 11.5% | |
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food drinks | 1.4% | |
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beaches seaside | 1.2% | |
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text visuals | 1.1% | |
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Captions
Microsoft
created on 2019-06-05
a vintage photo of some people in a room | 82.3% | |
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a vintage photo of a group of people in a room | 77.3% | |
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a vintage photo of a store | 70.5% | |
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Text analysis
Amazon
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LAUNDRY.
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PUBlIC LAUNDRY.
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PUBlIC
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PBI72
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PBI7A
PUBLIC LAUNDRY.
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PBI7A
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PUBLIC
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LAUNDRY.