Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
blade | 33.3 | |
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telephone jack | 29.2 | |
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safe | 27.6 | |
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box | 27.2 | |
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container | 26.1 | |
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jack | 25.9 | |
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device | 25.8 | |
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cutting implement | 25.5 | |
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paper | 25.1 | |
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old | 22.3 | |
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money | 22.1 | |
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currency | 21.5 | |
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cash | 20.1 | |
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business | 20 | |
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electrical device | 20 | |
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bank | 18.8 | |
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finance | 18.6 | |
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envelope | 17.3 | |
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tool | 17 | |
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wealth | 16.2 | |
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dollar | 15.8 | |
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vintage | 15.7 | |
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banking | 15.6 | |
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wall | 15.4 | |
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financial | 15.1 | |
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savings | 14.9 | |
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equipment | 14.5 | |
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bill | 14.3 | |
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retro | 13.9 | |
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investment | 13.7 | |
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grunge | 13.6 | |
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strongbox | 13.3 | |
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security | 12.9 | |
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card | 12.7 | |
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exchange | 12.4 | |
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antique | 12.2 | |
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close | 12 | |
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home | 12 | |
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technology | 11.9 | |
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hundred | 11.6 | |
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lock | 11.6 | |
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empty | 11.2 | |
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blank | 11.1 | |
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texture | 11.1 | |
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bills | 10.7 | |
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dollars | 10.6 | |
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metal | 10.5 | |
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ancient | 10.4 | |
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electric | 10.3 | |
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safety | 10.1 | |
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house | 10 | |
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frame | 10 | |
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carton | 9.5 | |
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electricity | 9.5 | |
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stock | 9.4 | |
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power | 9.2 | |
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note | 9.2 | |
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hand | 9.1 | |
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radio receiver | 9.1 | |
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plug | 9 | |
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steel | 8.8 | |
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object | 8.8 | |
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stamp | 8.7 | |
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light | 8.7 | |
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door | 8.6 | |
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3d | 8.5 | |
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black | 8.4 | |
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protection | 8.2 | |
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aged | 8.1 | |
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dirty | 8.1 | |
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market | 8 | |
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electronic equipment | 7.9 | |
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notes | 7.7 | |
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post | 7.6 | |
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energy | 7.6 | |
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page | 7.4 | |
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message | 7.3 | |
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receiver | 7.2 | |
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office | 7.2 | |
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open | 7.2 | |
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design | 7.1 | |
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interior | 7.1 | |
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Google
created on 2019-06-05
Photograph | 95.5 | |
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Text | 86.9 | |
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Snapshot | 82.9 | |
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Room | 82.1 | |
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Photographic paper | 65.8 | |
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Photography | 62.4 | |
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Stock photography | 59.4 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Disgusted | 49.6% |
Sad | 49.7% |
Calm | 49.6% |
Confused | 49.5% |
Angry | 49.9% |
Happy | 49.5% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Surprised | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Happy | 49.5% |
Confused | 49.7% |
Calm | 49.6% |
AWS Rekognition
Age | 38-57 |
Gender | Female, 50.2% |
Calm | 49.8% |
Confused | 49.6% |
Happy | 49.5% |
Disgusted | 49.7% |
Sad | 49.8% |
Angry | 49.6% |
Surprised | 49.6% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Surprised | 49.6% |
Sad | 49.8% |
Confused | 49.6% |
Calm | 49.7% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Confused | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Sad | 49.9% |
Angry | 49.9% |
Happy | 49.5% |
Surprised | 49.5% |
AWS Rekognition
Age | 16-27 |
Gender | Female, 50.4% |
Calm | 49.7% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.6% |
Surprised | 49.6% |
Confused | 49.7% |
Disgusted | 49.8% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Calm | 49.6% |
Sad | 49.9% |
Angry | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Confused | 49.5% |
Happy | 49.6% |
AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
AWS Rekognition
Age | 45-63 |
Gender | Male, 50.4% |
Angry | 49.6% |
Calm | 49.9% |
Sad | 49.9% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 50.4% |
Sad | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
AWS Rekognition
Age | 20-38 |
Gender | Male, 50.3% |
Sad | 50.3% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
AWS Rekognition
Age | 26-44 |
Gender | Male, 50.2% |
Calm | 49.7% |
Happy | 49.8% |
Confused | 49.6% |
Sad | 49.6% |
Angry | 49.6% |
Surprised | 49.7% |
Disgusted | 49.6% |
AWS Rekognition
Age | 30-47 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Sad | 50.2% |
Disgusted | 49.5% |
Calm | 49.7% |
Happy | 49.5% |
Angry | 49.5% |
Confused | 49.5% |