Machine Generated Data
Tags
Amazon
created on 2019-05-23
| Person | 99.8 | |
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| Human | 99.8 | |
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| Person | 99.2 | |
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| Person | 98.6 | |
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| Wheel | 98 | |
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| Machine | 98 | |
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| Vehicle | 97.5 | |
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| Transportation | 97.5 | |
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| Bicycle | 97.5 | |
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| Bike | 97.5 | |
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| Person | 97.1 | |
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| Wheel | 91.7 | |
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| Clinic | 91.5 | |
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| Person | 84.4 | |
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| Bus | 83.5 | |
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| Wheel | 83.1 | |
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| Car | 80 | |
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| Automobile | 80 | |
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| Interior Design | 74.1 | |
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| Indoors | 74.1 | |
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| Person | 66.9 | |
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| Room | 60.4 | |
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| Apparel | 58.6 | |
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| Footwear | 58.6 | |
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| Clothing | 58.6 | |
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| Shoe | 58.6 | |
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| Shorts | 56.4 | |
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| Hospital | 55.4 | |
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Clarifai
created on 2019-05-23
Imagga
created on 2019-05-23
| negative | 100 | |
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| film | 96.7 | |
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| photographic paper | 67.3 | |
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| car | 59.7 | |
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| photographic equipment | 45.2 | |
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| vehicle | 33.6 | |
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| transportation | 30.5 | |
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| transport | 25.6 | |
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| auto | 24.9 | |
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| old | 23 | |
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| automobile | 23 | |
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| retro | 19.7 | |
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| motor vehicle | 18.9 | |
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| vintage | 18.2 | |
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| truck | 17 | |
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| bus | 15.6 | |
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| road | 15.3 | |
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| travel | 14.1 | |
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| groom | 13.8 | |
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| driving | 12.6 | |
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| drive | 12.3 | |
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| wheel | 12.3 | |
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| limousine | 12.1 | |
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| speed | 11.9 | |
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| male | 11.3 | |
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| people | 11.1 | |
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| power | 10.9 | |
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| wheels | 10.7 | |
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| design | 10.7 | |
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| ancient | 10.4 | |
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| engine | 9.6 | |
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| digital | 8.9 | |
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| slide | 8.8 | |
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| wheeled vehicle | 8.8 | |
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| man | 8.7 | |
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| rust | 8.7 | |
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| art | 8.6 | |
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| black | 8.4 | |
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| fast | 8.4 | |
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| classic | 8.3 | |
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| screen | 8.3 | |
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| sky | 8.3 | |
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| street | 8.3 | |
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| technology | 8.2 | |
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| aged | 8.1 | |
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| dirty | 8.1 | |
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| jeep | 8 | |
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| tire | 7.9 | |
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| antique | 7.9 | |
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| camera | 7.8 | |
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| architecture | 7.8 | |
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| movie | 7.7 | |
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| motor | 7.7 | |
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| person | 7.7 | |
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| grunge | 7.7 | |
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| frame | 7.5 | |
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Google
created on 2019-05-23
| Motor vehicle | 96.3 | |
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| Photograph | 96.1 | |
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| Classic | 83.8 | |
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| Vintage car | 77.3 | |
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| Car | 69.5 | |
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| Vehicle | 68.3 | |
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| Photography | 67.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.7% |
| Disgusted | 45.8% |
| Happy | 45.5% |
| Confused | 45.7% |
| Sad | 47.5% |
| Calm | 49% |
| Angry | 45.6% |
| Surprised | 45.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54% |
| Sad | 48.8% |
| Confused | 45.3% |
| Angry | 45.9% |
| Happy | 46% |
| Disgusted | 45.5% |
| Calm | 47.3% |
| Surprised | 46.1% |
AWS Rekognition
| Age | 48-68 |
| Gender | Female, 54.4% |
| Confused | 45.6% |
| Sad | 47.1% |
| Disgusted | 46.5% |
| Calm | 47.9% |
| Surprised | 45.6% |
| Happy | 46.2% |
| Angry | 46.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 54.8% |
| Surprised | 47% |
| Angry | 45.3% |
| Disgusted | 45.3% |
| Happy | 45.1% |
| Confused | 49.7% |
| Calm | 46.3% |
| Sad | 46.3% |
Feature analysis
Categories
Imagga
| paintings art | 88.8% | |
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| interior objects | 10.2% | |
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Captions
Microsoft
created on 2019-05-23
| a black and white photo of a train | 77.5% | |
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| an old photo of a train | 77.4% | |
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| a group of people standing next to a train | 76.3% | |
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Text analysis
Amazon
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