Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 99.1 | |
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Human | 99.1 | |
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Person | 98.8 | |
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Person | 98.5 | |
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Person | 98.4 | |
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Person | 98.4 | |
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Person | 97.8 | |
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Person | 95.9 | |
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Person | 92 | |
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Poster | 82.8 | |
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Advertisement | 82.8 | |
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Collage | 78.3 | |
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Bird | 76.4 | |
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Animal | 76.4 | |
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Clothing | 73.7 | |
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Apparel | 73.7 | |
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Sunglasses | 70.9 | |
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Accessories | 70.9 | |
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Accessory | 70.9 | |
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Art | 67.3 | |
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Text | 65.6 | |
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People | 65.2 | |
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Person | 63.8 | |
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Furniture | 62.1 | |
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Person | 50 | |
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Person | 42.3 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-08
person | 16.7 | |
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cockpit | 16.3 | |
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man | 16.1 | |
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people | 15.6 | |
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male | 14.9 | |
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center | 13.1 | |
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power | 12.6 | |
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vehicle | 12.5 | |
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room | 12.5 | |
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city | 12.4 | |
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equipment | 12.1 | |
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danger | 10.9 | |
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safety | 10.1 | |
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vacation | 9.8 | |
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old | 9.7 | |
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technology | 9.6 | |
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industry | 9.4 | |
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business | 9.1 | |
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industrial | 9.1 | |
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human | 9 | |
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men | 8.6 | |
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travel | 8.4 | |
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world | 8.3 | |
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house | 8.3 | |
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device | 8.2 | |
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retro | 8.2 | |
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group | 8 | |
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computer | 8 | |
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antique | 8 | |
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home | 8 | |
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shop | 7.9 | |
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adult | 7.9 | |
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urban | 7.8 | |
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boy | 7.8 | |
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black | 7.8 | |
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summer | 7.7 | |
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hand | 7.7 | |
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grunge | 7.6 | |
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sport | 7.6 | |
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finance | 7.6 | |
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happy | 7.5 | |
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dark | 7.5 | |
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vintage | 7.4 | |
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back | 7.3 | |
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girls | 7.3 | |
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transportation | 7.2 | |
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family | 7.1 | |
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work | 7.1 | |
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businessman | 7 | |
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Google
created on 2022-01-08
Picture frame | 82.6 | |
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Suit | 81.3 | |
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Font | 80.6 | |
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Art | 72.2 | |
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Illustration | 65.8 | |
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Room | 63.1 | |
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History | 62.1 | |
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Monochrome | 60.6 | |
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Team | 59.6 | |
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Machine | 58 | |
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Photo caption | 54.3 | |
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Monochrome photography | 53.8 | |
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Airplane | 53.7 | |
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Chair | 53.7 | |
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Pattern | 53.4 | |
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Rectangle | 52.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 2-8 |
Gender | Male, 56.7% |
Sad | 71.6% |
Calm | 27.9% |
Fear | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Confused | 0.1% |
Surprised | 0% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.8% |
Calm | 90% |
Confused | 3.4% |
Happy | 2.3% |
Sad | 2% |
Disgusted | 0.9% |
Surprised | 0.7% |
Angry | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 73.4% |
Calm | 93% |
Happy | 4.8% |
Confused | 0.7% |
Disgusted | 0.4% |
Surprised | 0.4% |
Sad | 0.4% |
Angry | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 34-42 |
Gender | Female, 59.8% |
Calm | 99.6% |
Sad | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Angry | 0% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 93.2% |
Surprised | 81.4% |
Sad | 9.1% |
Calm | 6.2% |
Disgusted | 0.8% |
Fear | 0.8% |
Confused | 0.8% |
Happy | 0.5% |
Angry | 0.4% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 88.3% |
Calm | 99.7% |
Happy | 0.1% |
Sad | 0.1% |
Fear | 0% |
Disgusted | 0% |
Surprised | 0% |
Confused | 0% |
Angry | 0% |
Feature analysis
Categories
Imagga
streetview architecture | 68.1% | |
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interior objects | 27% | |
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paintings art | 2.6% | |
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Captions
Microsoft
created on 2022-01-08
text | 43.7% | |
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Text analysis
Amazon

WOOD

jbea

wen

RL

Reminoton

STRAITIER

PEEZ

nsavino

HT

faon

faon 10

ils

10

TOMER

Reinoto
wen
navino
WOOD
ibeal
STRAITIFE

Reinoto

wen

navino

WOOD

ibeal

STRAITIFE