Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
shop | 100 | |
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toyshop | 100 | |
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mercantile establishment | 100 | |
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place of business | 70 | |
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establishment | 34.8 | |
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currency | 27.8 | |
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money | 24.7 | |
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cash | 20.1 | |
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bank | 19.7 | |
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dollars | 19.3 | |
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dollar | 17.6 | |
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banking | 17.5 | |
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business | 17 | |
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wealth | 16.1 | |
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hundred | 15.5 | |
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bill | 15.2 | |
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finance | 15.2 | |
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savings | 14.9 | |
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paper | 14.9 | |
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people | 13.9 | |
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religion | 13.4 | |
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ancient | 13 | |
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child | 12.7 | |
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bills | 12.6 | |
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old | 12.5 | |
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family | 12.4 | |
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investment | 11.9 | |
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market | 11.5 | |
| ||
loan | 11.5 | |
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one | 11.2 | |
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man | 10.7 | |
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exchange | 10.5 | |
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portrait | 10.3 | |
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culture | 10.2 | |
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person | 10.1 | |
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art | 9.8 | |
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rate | 9.7 | |
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paying | 9.7 | |
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finances | 9.6 | |
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temple | 9.5 | |
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mother | 9.3 | |
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economy | 9.3 | |
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history | 8.9 | |
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franklin | 8.9 | |
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happy | 8.8 | |
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us | 8.7 | |
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antique | 8.7 | |
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sculpture | 8.6 | |
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united | 8.6 | |
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statue | 8.6 | |
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historical | 8.5 | |
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house | 8.4 | |
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vintage | 8.3 | |
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financial | 8 | |
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close | 8 | |
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smiling | 8 | |
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smile | 7.8 | |
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architecture | 7.8 | |
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travel | 7.7 | |
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buying | 7.7 | |
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god | 7.6 | |
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newspaper | 7.5 | |
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stock | 7.5 | |
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rich | 7.4 | |
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historic | 7.3 | |
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girls | 7.3 | |
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decoration | 7.2 | |
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cute | 7.2 | |
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face | 7.1 | |
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love | 7.1 | |
|
Google
created on 2019-05-29
Photograph | 96.5 | |
| ||
Black-and-white | 90.3 | |
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Snapshot | 85.6 | |
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Monochrome | 81.2 | |
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Photography | 77 | |
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Monochrome photography | 73.3 | |
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Stock photography | 68.5 | |
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Collection | 66.8 | |
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Visual arts | 59.3 | |
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Art | 58.1 | |
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Style | 56.8 | |
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Photomontage | 53.9 | |
|
Microsoft
created on 2019-05-29
human face | 93.9 | |
| ||
cartoon | 88.7 | |
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drawing | 86.7 | |
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black and white | 80 | |
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person | 74.1 | |
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store | 70.2 | |
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case | 69.1 | |
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posing | 60.4 | |
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various | 41.5 | |
| ||
sale | 10.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 57-77 |
Gender | Male, 76.1% |
Angry | 7% |
Confused | 10.4% |
Happy | 42.9% |
Calm | 7.6% |
Surprised | 13.4% |
Sad | 9.7% |
Disgusted | 8.9% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 93.1% |
Angry | 4.7% |
Surprised | 54.8% |
Confused | 6.2% |
Calm | 3.7% |
Happy | 17.8% |
Disgusted | 5.4% |
Sad | 7.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 56.2% |
Disgusted | 5.3% |
Happy | 17.4% |
Sad | 8.4% |
Calm | 23.6% |
Angry | 6.8% |
Surprised | 28.4% |
Confused | 10.1% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 76.8% |
Happy | 6.9% |
Disgusted | 21% |
Surprised | 10.1% |
Confused | 11.3% |
Sad | 8.6% |
Angry | 18.8% |
Calm | 23.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 69.8% |
Angry | 8.4% |
Disgusted | 9.2% |
Happy | 3.2% |
Sad | 24.9% |
Calm | 30.6% |
Surprised | 7.1% |
Confused | 16.5% |

Microsoft Cognitive Services
Age | 67 |
Gender | Male |
Feature analysis
Categories
Imagga
paintings art | 94% | |
| ||
streetview architecture | 2.9% | |
| ||
text visuals | 2.3% | |
|
Captions
Microsoft
created on 2019-05-29
a group of people posing for a photo in front of a store window | 44.5% | |
| ||
a group of men posing for a photo in front of a store window | 34.5% | |
| ||
a group of people posing for a photo in front of a store | 34.4% | |
|
Text analysis
Amazon

29A3

2A3TAI

8P

Pr

2843 2A3TAI THAID

29A3 THALD

2843

THAID

slui

THALD

.grub

ERAS

21

BARAY