Machine Generated Data
Tags
Amazon
created on 2019-06-07
Restaurant | 99.9 | |
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Furniture | 99.9 | |
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Chair | 99.9 | |
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Chair | 99.7 | |
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Human | 98.8 | |
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Person | 98.8 | |
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Person | 98.3 | |
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Chair | 97 | |
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Chair | 96.2 | |
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Chair | 96.1 | |
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Dining Table | 95.9 | |
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Table | 95.9 | |
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Chair | 95.1 | |
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Cafeteria | 92 | |
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Chair | 89.6 | |
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Chair | 89.4 | |
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Chair | 88.5 | |
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Food Court | 87 | |
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Food | 87 | |
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Tablecloth | 86.1 | |
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Chair | 78.9 | |
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Chair | 77.6 | |
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Chair | 75.5 | |
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Meal | 75.4 | |
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Chair | 73.9 | |
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Cafe | 73.1 | |
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Chair | 67.1 | |
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Chair | 57.7 | |
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Chair | 55.9 | |
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Indoors | 55.7 | |
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Chair | 53.7 | |
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Person | 45.5 | |
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Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
Google
created on 2019-06-07
Room | 84.3 | |
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Table | 77.5 | |
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Restaurant | 69.1 | |
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Textile | 65.6 | |
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Furniture | 64.7 | |
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Vintage clothing | 62.5 | |
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Dining room | 59.8 | |
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Chair | 59 | |
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History | 57.6 | |
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Black-and-white | 56.4 | |
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Microsoft
created on 2019-06-07
wall | 98.3 | |
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floor | 97 | |
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indoor | 95 | |
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chair | 94 | |
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scene | 75.3 | |
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black | 74.8 | |
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white | 73.6 | |
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room | 68 | |
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kitchen & dining room table | 57.5 | |
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table | 33.1 | |
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dining table | 26 | |
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furniture | 25.2 | |
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dining room | 21.5 | |
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restaurant | 15.9 | |
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several | 12.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 48-68 |
Gender | Male, 54.6% |
Happy | 45.3% |
Sad | 51.2% |
Surprised | 45.2% |
Angry | 46.2% |
Calm | 46.7% |
Disgusted | 45.2% |
Confused | 45.2% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 53.6% |
Angry | 45.1% |
Calm | 52.3% |
Sad | 47.2% |
Confused | 45.1% |
Disgusted | 45.1% |
Surprised | 45.1% |
Happy | 45.1% |