Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
picket fence | 37.8 | |
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fence | 36.7 | |
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barrier | 25.5 | |
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building | 19.8 | |
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man | 18.1 | |
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structure | 17.9 | |
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obstruction | 17 | |
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people | 16.2 | |
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architecture | 15.9 | |
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male | 14.9 | |
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travel | 14.8 | |
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black | 12.6 | |
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old | 12.5 | |
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person | 12.3 | |
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outdoor | 12.2 | |
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groom | 12.1 | |
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snow | 11.6 | |
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adult | 11.1 | |
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winter | 11.1 | |
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landscape | 10.4 | |
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cold | 10.3 | |
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house | 10.1 | |
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cleaner | 10 | |
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dress | 9.9 | |
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silhouette | 9.9 | |
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park | 9.9 | |
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outdoors | 9.7 | |
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couple | 9.6 | |
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men | 9.4 | |
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outside | 9.4 | |
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two | 9.3 | |
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city | 9.1 | |
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bride | 9 | |
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light | 8.7 | |
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love | 8.7 | |
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water | 8.7 | |
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business | 8.5 | |
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street | 8.3 | |
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landmark | 8.1 | |
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art | 8.1 | |
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women | 7.9 | |
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urban | 7.9 | |
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day | 7.8 | |
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modern | 7.7 | |
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tourism | 7.4 | |
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vacation | 7.4 | |
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wedding | 7.4 | |
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statue | 7.2 | |
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religion | 7.2 | |
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river | 7.1 | |
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trees | 7.1 | |
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column | 7.1 | |
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sky | 7 | |
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Google
created on 2019-06-01
Photograph | 97.6 | |
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White | 97.2 | |
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Snapshot | 89.7 | |
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Black-and-white | 87.9 | |
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Standing | 85.8 | |
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Photography | 80.8 | |
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Stock photography | 76.2 | |
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Window | 73.6 | |
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Monochrome | 72.4 | |
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Tree | 68.7 | |
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Room | 65.7 | |
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Monochrome photography | 64.7 | |
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Picture frame | 60.7 | |
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Microsoft
created on 2019-06-01
black and white | 93.5 | |
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man | 90.4 | |
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clothing | 74.8 | |
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person | 74 | |
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fog | 59.4 | |
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Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.9% |
Disgusted | 45.3% |
Calm | 49.7% |
Angry | 45.3% |
Sad | 48.2% |
Happy | 46% |
Surprised | 45.3% |
Confused | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.7% |
Confused | 45.8% |
Surprised | 45.5% |
Calm | 50.3% |
Sad | 46.8% |
Happy | 45.4% |
Disgusted | 45.7% |
Angry | 45.5% |
Feature analysis
Amazon


Person | 97.3% | |
|
Captions
Microsoft
a man standing next to a window | 83.9% | |
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a man standing in front of a window | 83.8% | |
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a man standing next to a building | 83.7% | |
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Text analysis
Amazon

702HF1