Machine Generated Data
Tags
Amazon
created on 2022-01-15
Chair | 99.2 | |
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Furniture | 99.2 | |
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Person | 98.8 | |
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Human | 98.8 | |
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Chair | 97.4 | |
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Room | 96.6 | |
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Indoors | 96.6 | |
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Interior Design | 93.9 | |
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Restaurant | 93.4 | |
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Chair | 92.5 | |
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Living Room | 91.5 | |
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Chair | 89.5 | |
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Person | 86.1 | |
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Chair | 78.7 | |
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Lobby | 76 | |
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Cafeteria | 73.5 | |
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Person | 72.9 | |
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Lighting | 72.7 | |
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Chair | 71.9 | |
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Dining Table | 69.8 | |
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Table | 69.8 | |
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Person | 68.6 | |
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Meal | 67 | |
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Food | 67 | |
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People | 62.4 | |
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Dining Room | 59.4 | |
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Cafe | 58.9 | |
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Person | 58.5 | |
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Couch | 57.9 | |
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Reception | 56.9 | |
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Plant | 56.1 | |
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Imagga
created on 2022-01-15
Google
created on 2022-01-15
Chair | 90 | |
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Window | 85.7 | |
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Black-and-white | 83.7 | |
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Table | 77.8 | |
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Monochrome photography | 76.5 | |
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Monochrome | 72.6 | |
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Room | 70.6 | |
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Rectangle | 69.8 | |
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Event | 68.4 | |
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Font | 63.8 | |
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Stock photography | 63.3 | |
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Living room | 58.8 | |
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Couch | 57.7 | |
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History | 56.8 | |
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Building | 54.9 | |
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Classic | 51.6 | |
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Microsoft
created on 2022-01-15
table | 99.6 | |
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text | 99.4 | |
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chair | 97.5 | |
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house | 94.6 | |
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vase | 94.6 | |
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indoor | 94 | |
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kitchen & dining room table | 88.5 | |
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coffee table | 88.3 | |
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window | 86.4 | |
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building | 70.6 | |
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interior design | 55.1 | |
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couch | 55 | |
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black and white | 51.4 | |
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furniture | 28.6 | |
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Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Male, 97.4% |
Calm | 95.6% |
Angry | 1.1% |
Happy | 1.1% |
Sad | 0.7% |
Surprised | 0.6% |
Fear | 0.5% |
Confused | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 97% |
Fear | 43.3% |
Angry | 24.4% |
Calm | 11.6% |
Happy | 8.4% |
Sad | 5.7% |
Disgusted | 2.8% |
Confused | 2.1% |
Surprised | 1.7% |
Feature analysis
Captions
Microsoft
a room filled with furniture and a large window | 75.1% | |
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a room filled with furniture and a window | 75% | |
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a person standing in front of a window | 51.9% | |
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Text analysis
Amazon

41213

MJI7--YT3RA°2 --AGOX
4-6213

MJI7--YT3RA°2

--AGOX

4-6213