Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 98.9 | |
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Human | 98.9 | |
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Person | 98.6 | |
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Person | 98.5 | |
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Person | 98.3 | |
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Person | 96.6 | |
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Person | 95.8 | |
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Person | 95.7 | |
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Person | 95.1 | |
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Person | 94.7 | |
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Person | 88.9 | |
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Person | 87.4 | |
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Crowd | 82.8 | |
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People | 80.4 | |
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Audience | 76 | |
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Clothing | 75.6 | |
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Apparel | 75.6 | |
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Indoors | 72.4 | |
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Room | 72.2 | |
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School | 71.7 | |
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Stage | 70.1 | |
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Person | 69 | |
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Person | 67.8 | |
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Person | 67.5 | |
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Classroom | 65 | |
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Person | 64.5 | |
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Suit | 61.8 | |
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Coat | 61.8 | |
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Overcoat | 61.8 | |
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Person | 59.6 | |
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Photography | 59.1 | |
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Photo | 59.1 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
people | 27.3 | |
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metropolitan | 22.2 | |
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building | 18.7 | |
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city | 17.4 | |
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hall | 17.3 | |
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clothing | 17.2 | |
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vestment | 15.8 | |
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architecture | 15.6 | |
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room | 15.4 | |
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old | 15.3 | |
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business | 15.2 | |
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man | 14.8 | |
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travel | 14.1 | |
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shop | 13.6 | |
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interior | 13.3 | |
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gown | 13.2 | |
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window | 13.2 | |
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adult | 12.8 | |
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women | 12.6 | |
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spectator | 12.3 | |
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tourism | 11.5 | |
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men | 11.2 | |
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student | 11 | |
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tourist | 10.9 | |
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history | 10.7 | |
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indoors | 10.5 | |
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lamp | 10.5 | |
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group | 10.5 | |
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person | 10.4 | |
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life | 10.4 | |
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inside | 10.1 | |
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street | 10.1 | |
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historic | 10.1 | |
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outerwear | 10.1 | |
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male | 9.9 | |
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modern | 9.8 | |
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urban | 9.6 | |
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crowd | 9.6 | |
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classroom | 9.6 | |
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couple | 9.6 | |
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office | 9.4 | |
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monument | 9.3 | |
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house | 9.2 | |
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religion | 9 | |
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catholic | 8.8 | |
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home | 8.8 | |
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day | 8.6 | |
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wall | 8.5 | |
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church | 8.3 | |
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fashion | 8.3 | |
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indoor | 8.2 | |
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boutique | 8 | |
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love | 7.9 | |
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work | 7.8 | |
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art | 7.8 | |
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table | 7.8 | |
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professional | 7.8 | |
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counter | 7.7 | |
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chair | 7.6 | |
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historical | 7.5 | |
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buy | 7.5 | |
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shopping | 7.3 | |
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enrollee | 7.3 | |
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family | 7.1 | |
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uniform | 7.1 | |
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Google
created on 2022-01-08
Black-and-white | 82.9 | |
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Art | 78.8 | |
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Event | 73.8 | |
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Monochrome | 72.4 | |
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Vintage clothing | 71.9 | |
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Font | 71.3 | |
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Room | 71.2 | |
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Monochrome photography | 70.7 | |
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Chair | 67.9 | |
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Stock photography | 65.2 | |
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History | 64.9 | |
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Visual arts | 62.8 | |
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Rectangle | 62.2 | |
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Crowd | 60.9 | |
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Paper product | 60.1 | |
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Building | 56.6 | |
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Team | 56.2 | |
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Collection | 53.4 | |
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Suit | 53.4 | |
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Photographic paper | 51.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Female, 66% |
Happy | 52.8% |
Calm | 27% |
Sad | 16.3% |
Angry | 2.6% |
Fear | 0.3% |
Surprised | 0.3% |
Disgusted | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 50-58 |
Gender | Female, 74.1% |
Calm | 97.6% |
Sad | 1.3% |
Fear | 0.6% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 11-19 |
Gender | Female, 93.6% |
Sad | 28.5% |
Disgusted | 27.3% |
Angry | 14.7% |
Calm | 9.4% |
Happy | 7.7% |
Surprised | 5.9% |
Fear | 3.8% |
Confused | 2.6% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 85.1% |
Calm | 83.9% |
Surprised | 6.8% |
Sad | 2.9% |
Angry | 2.1% |
Disgusted | 1.2% |
Fear | 1.2% |
Happy | 1% |
Confused | 1% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 68.4% |
Calm | 84.1% |
Sad | 7.4% |
Confused | 2.6% |
Angry | 2.1% |
Disgusted | 1.2% |
Surprised | 1.1% |
Fear | 0.8% |
Happy | 0.7% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 90.7% | |
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interior objects | 5.1% | |
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text visuals | 2.1% | |
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paintings art | 1.1% | |
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Captions
Microsoft
created on 2022-01-08
a group of people standing in front of a building | 83.9% | |
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a group of people standing in front of a crowd | 80.1% | |
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a group of people standing in a room | 80% | |
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Text analysis
Amazon

TRAINS

STAIRS

FOR

DOWN STAIRS FOR

INCOMING

M330

DOWN

M330 71.

71.

LOW

SEVENTIA