Machine Generated Data
Tags
Amazon
created on 2022-03-19
Clarifai
created on 2023-10-28
Imagga
created on 2022-03-19
wheelchair | 70.5 | |
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jinrikisha | 59.3 | |
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cart | 53.2 | |
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chair | 47.9 | |
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wagon | 38.9 | |
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wheel | 35.8 | |
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seat | 33.6 | |
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carriage | 30.8 | |
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bicycle | 28.4 | |
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wheeled vehicle | 28.3 | |
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bike | 25.4 | |
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vehicle | 24.6 | |
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old | 24.4 | |
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disabled | 23.7 | |
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transportation | 21.5 | |
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people | 21.2 | |
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outdoors | 21 | |
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man | 20.8 | |
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street | 18.4 | |
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transport | 17.3 | |
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furniture | 17 | |
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male | 16.3 | |
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outside | 16.3 | |
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help | 15.8 | |
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person | 15.7 | |
| ||
care | 15.6 | |
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ride | 15.5 | |
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adult | 14.9 | |
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cycle | 14.6 | |
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senior | 14.1 | |
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outdoor | 13.8 | |
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men | 13.7 | |
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sport | 13.3 | |
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support | 13 | |
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handicapped | 12.8 | |
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handicap | 12.8 | |
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health | 12.5 | |
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disability | 11.9 | |
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illness | 11.4 | |
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human | 11.2 | |
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mobility | 10.8 | |
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park | 10.7 | |
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sick | 10.6 | |
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medical | 10.6 | |
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travel | 10.6 | |
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equipment | 10.3 | |
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city | 10 | |
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active | 9.9 | |
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recreation | 9.9 | |
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cycling | 9.8 | |
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retired | 9.7 | |
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physical | 9.7 | |
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summer | 9.6 | |
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antique | 9.5 | |
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horse | 9.5 | |
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smiling | 9.4 | |
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activity | 9 | |
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impairment | 8.9 | |
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invalid | 8.9 | |
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furnishing | 8.8 | |
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riding | 8.8 | |
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happy | 8.8 | |
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lifestyle | 8.7 | |
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hospital | 8.7 | |
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retirement | 8.6 | |
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elderly | 8.6 | |
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husband | 8.6 | |
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car | 8.3 | |
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historic | 8.2 | |
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road | 8.1 | |
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nurse | 8.1 | |
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disable | 7.9 | |
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biking | 7.9 | |
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vintage | 7.4 | |
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sports | 7.4 | |
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training | 7.4 | |
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retro | 7.4 | |
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aged | 7.2 | |
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women | 7.1 | |
|
Google
created on 2022-03-19
Wheel | 97.8 | |
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Black | 89.7 | |
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Tire | 89.5 | |
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Motor vehicle | 88.2 | |
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Gesture | 85.3 | |
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Black-and-white | 85.2 | |
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Flash photography | 85 | |
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Style | 84.1 | |
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Vehicle | 82.9 | |
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Vintage clothing | 77.2 | |
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Tints and shades | 76.8 | |
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Classic | 76.2 | |
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Monochrome photography | 76.2 | |
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Monochrome | 74.7 | |
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Happy | 72.3 | |
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Formal wear | 71 | |
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Event | 70.8 | |
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Photo caption | 65 | |
| ||
Stock photography | 64.6 | |
| ||
Spoke | 60 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Happy | 88.6% |
Surprised | 4.3% |
Fear | 1.9% |
Confused | 1.8% |
Calm | 1.4% |
Angry | 0.8% |
Disgusted | 0.7% |
Sad | 0.4% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 97.6% |
Happy | 99% |
Surprised | 0.5% |
Fear | 0.2% |
Confused | 0.2% |
Calm | 0.1% |
Angry | 0% |
Disgusted | 0% |
Sad | 0% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 50.2% |
Happy | 94.5% |
Calm | 1.8% |
Confused | 1.6% |
Surprised | 1% |
Angry | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |
Sad | 0.1% |

Microsoft Cognitive Services
Age | 35 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 70.1% | |
| ||
people portraits | 20% | |
| ||
events parties | 8.8% | |
|
Captions
Microsoft
created on 2022-03-19
a woman posing for a photo | 96% | |
| ||
a woman in a dress posing for a photo | 95.9% | |
| ||
a woman standing next to a bicycle | 85% | |
|
Text analysis
Amazon

1

KODAKAI

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KODVK

-

2.VEEIA--EITW

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a