Machine Generated Data
Tags
Amazon
created on 2019-11-15
Human | 99.5 | |
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Person | 99.5 | |
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Person | 99.3 | |
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Person | 98.6 | |
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Urban | 95.9 | |
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Building | 94.3 | |
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Apparel | 90.9 | |
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Clothing | 90.9 | |
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Nature | 85.2 | |
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Person | 84.8 | |
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Outdoors | 79.5 | |
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Person | 76.9 | |
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Rural | 75.6 | |
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Countryside | 75.6 | |
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Shelter | 75.6 | |
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Person | 75 | |
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Face | 65.5 | |
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Accessory | 62.9 | |
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Accessories | 62.9 | |
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Tie | 62.9 | |
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Neighborhood | 62.9 | |
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Standing | 60.2 | |
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City | 59.2 | |
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Town | 59.2 | |
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Sleeve | 56.5 | |
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Person | 55.9 | |
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Clarifai
created on 2019-11-15
Imagga
created on 2019-11-15
barbershop | 77.2 | |
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shop | 61.2 | |
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mercantile establishment | 47.7 | |
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place of business | 31.8 | |
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old | 25.8 | |
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architecture | 19.5 | |
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building | 18.1 | |
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hairdresser | 16.4 | |
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wall | 16.2 | |
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establishment | 15.9 | |
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ancient | 15.6 | |
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city | 15 | |
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house | 14.2 | |
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vintage | 14.1 | |
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antique | 13 | |
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window | 12.7 | |
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stone | 12.6 | |
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door | 12.6 | |
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people | 12.3 | |
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man | 11.4 | |
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travel | 11.3 | |
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grunge | 11.1 | |
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street | 11 | |
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brick | 10.4 | |
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black | 10.2 | |
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historic | 10.1 | |
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male | 10 | |
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tourism | 9.9 | |
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religion | 9.9 | |
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detail | 9.6 | |
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urban | 9.6 | |
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historical | 9.4 | |
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person | 9.1 | |
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decoration | 9.1 | |
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dirty | 9 | |
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history | 8.9 | |
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statue | 8.6 | |
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culture | 8.5 | |
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art | 8.5 | |
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monument | 8.4 | |
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aged | 8.1 | |
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home | 8 | |
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buildings | 7.6 | |
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human | 7.5 | |
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church | 7.4 | |
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structure | 7.3 | |
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landmark | 7.2 | |
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adult | 7.2 | |
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portrait | 7.1 | |
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Google
created on 2019-11-15
Photograph | 96.7 | |
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Snapshot | 88.1 | |
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Picture frame | 87 | |
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Photography | 74.8 | |
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Room | 71.4 | |
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Photographic paper | 68.9 | |
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Black-and-white | 68.3 | |
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Adaptation | 67 | |
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Stock photography | 66.6 | |
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Art | 58.1 | |
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Microsoft
created on 2019-11-15
clothing | 97.9 | |
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person | 97.2 | |
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gallery | 97.1 | |
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text | 96 | |
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man | 93.6 | |
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house | 84.3 | |
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room | 83.7 | |
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billboard | 79.5 | |
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scene | 71.6 | |
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black and white | 70.9 | |
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smile | 70.8 | |
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human face | 62.2 | |
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old | 47.5 | |
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picture frame | 21.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 33-49 |
Gender | Male, 54.9% |
Happy | 50.3% |
Angry | 45.1% |
Confused | 45.1% |
Calm | 49.2% |
Disgusted | 45.1% |
Fear | 45% |
Surprised | 45.2% |
Sad | 45.1% |

AWS Rekognition
Age | 24-38 |
Gender | Male, 54.5% |
Sad | 46.1% |
Calm | 50.6% |
Angry | 47.4% |
Fear | 45.2% |
Happy | 45% |
Confused | 45.1% |
Surprised | 45.3% |
Disgusted | 45.1% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 50.4% |
Sad | 49.5% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Happy | 50.2% |
Fear | 49.5% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 50% |
Fear | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Sad | 49.6% |
Disgusted | 49.7% |
Happy | 49.6% |
Surprised | 49.5% |
Angry | 49.9% |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 74% | |
| ||
food drinks | 5.9% | |
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people portraits | 5.2% | |
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streetview architecture | 4.2% | |
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paintings art | 3.5% | |
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text visuals | 3.3% | |
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pets animals | 1.9% | |
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events parties | 1.3% | |
|
Captions
Microsoft
created on 2019-11-15
a man standing in a room | 91% | |
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an old photo of a man in a room | 90.9% | |
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an old photo of a man | 85.6% | |
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Text analysis
Amazon

good

a

ClubBeer

Ite a good lilfe

lilfe

BED

Ite

OY

Beer

1
good e
W Club Beer

1

good

e

W

Club