Machine Generated Data
Tags
Amazon
created on 2019-06-06
Restaurant | 95.9 | |
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Factory | 95.3 | |
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Building | 95.3 | |
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Person | 92.7 | |
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Human | 92.7 | |
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Wood | 92.6 | |
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Person | 91 | |
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Person | 88.1 | |
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Person | 87.9 | |
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Bench | 86 | |
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Furniture | 86 | |
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Cafeteria | 85.9 | |
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Person | 85.2 | |
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Tabletop | 84.7 | |
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Workshop | 83.7 | |
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Plywood | 82.1 | |
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Person | 79 | |
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Bench | 75.7 | |
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Person | 75.6 | |
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Person | 64.5 | |
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Architecture | 61.8 | |
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Tower | 61.8 | |
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Clock Tower | 61.8 | |
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Person | 61.7 | |
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Clarifai
created on 2019-06-06
furniture | 98.6 | |
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room | 97 | |
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indoors | 96.8 | |
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chair | 96.7 | |
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seat | 96.7 | |
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no person | 96.4 | |
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people | 96.2 | |
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transportation system | 92.2 | |
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many | 91.3 | |
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bar | 90.6 | |
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group together | 89.1 | |
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stock | 88.1 | |
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restaurant | 87.9 | |
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vehicle | 87.5 | |
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group | 87 | |
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bench | 86.1 | |
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monochrome | 86.1 | |
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table | 84.6 | |
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street | 83.1 | |
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inside | 79.8 | |
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Imagga
created on 2019-06-06
Google
created on 2019-06-06
Table | 79.6 | |
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Room | 76.5 | |
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Building | 71.3 | |
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Furniture | 69.1 | |
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Cafeteria | 68.7 | |
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Tavern | 66.9 | |
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Coffeehouse | 62.9 | |
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Café | 62.6 | |
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Restaurant | 57.6 | |
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Microsoft
created on 2019-06-06
table | 99.4 | |
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furniture | 99.3 | |
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chair | 93.4 | |
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indoor | 89.2 | |
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restaurant | 86.9 | |
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kitchen & dining room table | 86.6 | |
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ceiling | 81 | |
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coffee table | 69.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Angry | 49.6% |
Calm | 49.6% |
Sad | 50.1% |
Surprised | 49.5% |
Disgusted | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |
Calm | 49.9% |
Happy | 49.6% |
Surprised | 49.5% |
Sad | 49.8% |
Feature analysis
Amazon
Text analysis
UN 29
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UN