Machine Generated Data
Tags
Amazon
created on 2023-10-05
Parade | 100 | |
| ||
Protest | 100 | |
| ||
People | 99.2 | |
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Person | 98.1 | |
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Adult | 98.1 | |
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Male | 98.1 | |
| ||
Man | 98.1 | |
| ||
Person | 97.8 | |
| ||
Person | 96.1 | |
| ||
Adult | 96.1 | |
| ||
Male | 96.1 | |
| ||
Man | 96.1 | |
| ||
Person | 96 | |
| ||
Adult | 96 | |
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Male | 96 | |
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Man | 96 | |
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Person | 93.7 | |
| ||
Person | 93.4 | |
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Accessories | 92 | |
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Glasses | 92 | |
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Architecture | 91.5 | |
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Building | 91.5 | |
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City | 89.6 | |
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Metropolis | 89 | |
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Urban | 89 | |
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Person | 87.5 | |
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Person | 87 | |
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Adult | 87 | |
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Male | 87 | |
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Man | 87 | |
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Text | 84.4 | |
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Car | 84.4 | |
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Transportation | 84.4 | |
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Vehicle | 84.4 | |
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Clothing | 81.8 | |
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Hat | 81.8 | |
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Person | 80.9 | |
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Glasses | 79.9 | |
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Face | 79.4 | |
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Head | 79.4 | |
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Condo | 75.9 | |
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Housing | 75.9 | |
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Person | 73.7 | |
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Office Building | 57.8 | |
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Banner | 56.8 | |
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Crowd | 56.2 | |
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Hat | 55.2 | |
|
Clarifai
created on 2018-05-11
retro | 97.7 | |
| ||
city | 97 | |
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movie | 96.9 | |
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vintage | 96.9 | |
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old | 96 | |
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street | 95.5 | |
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negative | 94.9 | |
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cinematography | 93.5 | |
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filmstrip | 91.2 | |
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square | 90.9 | |
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art | 89.6 | |
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service | 88.4 | |
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architecture | 87.6 | |
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antique | 86.5 | |
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illustration | 86.5 | |
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desktop | 85.7 | |
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business | 83.8 | |
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people | 83.3 | |
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road | 81.7 | |
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photograph | 81 | |
|
Imagga
created on 2023-10-05
cinema | 89.1 | |
| ||
building | 80.5 | |
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theater | 70.5 | |
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city | 59.9 | |
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structure | 53.6 | |
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architecture | 51.6 | |
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urban | 33.2 | |
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freight car | 31.8 | |
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cityscape | 29.3 | |
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buildings | 29.3 | |
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car | 27.4 | |
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sky | 25.5 | |
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downtown | 25 | |
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skyline | 24.7 | |
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travel | 22.5 | |
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tower | 22.4 | |
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modern | 21.7 | |
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center | 20.8 | |
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town | 20.4 | |
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wheeled vehicle | 19.1 | |
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skyscraper | 18.7 | |
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office | 17.3 | |
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business | 16.4 | |
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night | 16 | |
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university | 15.9 | |
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billboard | 15.6 | |
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construction | 15.4 | |
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vehicle | 14.8 | |
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tall | 14.1 | |
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street | 13.8 | |
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new | 13.8 | |
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landmark | 13.5 | |
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signboard | 13.5 | |
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river | 13.3 | |
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bridge | 13.2 | |
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reflection | 13 | |
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old | 12.5 | |
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skyscrapers | 11.7 | |
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glass | 11.7 | |
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tourism | 11.6 | |
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windows | 11.5 | |
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famous | 11.2 | |
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scene | 10.4 | |
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light | 10 | |
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transportation | 9.9 | |
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district | 9.7 | |
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high | 9.5 | |
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clouds | 9.3 | |
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house | 9.2 | |
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financial | 8.9 | |
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panorama | 8.6 | |
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destination | 8.4 | |
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lights | 8.3 | |
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window | 8.3 | |
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tourist | 8.3 | |
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historic | 8.3 | |
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vacation | 8.2 | |
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landscape | 8.2 | |
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coast | 8.1 | |
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steel | 8 | |
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towers | 7.8 | |
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cars | 7.8 | |
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sea | 7.8 | |
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corporate | 7.7 | |
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evening | 7.5 | |
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technology | 7.4 | |
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exterior | 7.4 | |
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water | 7.3 | |
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metal | 7.2 | |
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history | 7.2 | |
|
Google
created on 2018-05-11
black and white | 93.7 | |
| ||
monochrome photography | 89.1 | |
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urban area | 83.6 | |
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photography | 80.6 | |
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wall | 80.5 | |
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architecture | 79.8 | |
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monochrome | 75.5 | |
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daytime | 71 | |
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building | 67.9 | |
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font | 67.4 | |
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city | 65.6 | |
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metropolis | 64.9 | |
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advertising | 56.8 | |
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history | 55.2 | |
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facade | 54.9 | |
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window | 52.8 | |
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stock photography | 52.7 | |
|
Microsoft
created on 2018-05-11
city | 53.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 40-48 |
Gender | Male, 100% |
Confused | 82.9% |
Surprised | 8.3% |
Calm | 6.7% |
Fear | 6.3% |
Sad | 2.4% |
Angry | 2.4% |
Disgusted | 1.2% |
Happy | 1.2% |

AWS Rekognition
Age | 49-57 |
Gender | Male, 100% |
Calm | 99.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Happy | 0% |

AWS Rekognition
Age | 48-56 |
Gender | Female, 58.1% |
Calm | 77.7% |
Happy | 12.4% |
Surprised | 9.5% |
Fear | 6% |
Sad | 2.2% |
Angry | 2.1% |
Disgusted | 1.1% |
Confused | 0.8% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 100% |
Sad | 100% |
Calm | 8.7% |
Surprised | 7.3% |
Fear | 5.9% |
Confused | 3.2% |
Angry | 0.3% |
Disgusted | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 98.9% |
Surprised | 71% |
Happy | 29.4% |
Calm | 17.7% |
Fear | 6.1% |
Sad | 3.9% |
Confused | 3.5% |
Angry | 1.7% |
Disgusted | 0.8% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Adult
Male
Man
Glasses
Building
Car
Hat

Person | 98.1% | |
|

Person | 97.8% | |
|

Person | 96.1% | |
|

Person | 96% | |
|

Person | 93.7% | |
|

Person | 93.4% | |
|

Person | 87.5% | |
|

Person | 87% | |
|

Person | 80.9% | |
|

Person | 73.7% | |
|

Adult | 98.1% | |
|

Adult | 96.1% | |
|

Adult | 96% | |
|

Adult | 87% | |
|

Male | 98.1% | |
|

Male | 96.1% | |
|

Male | 96% | |
|

Male | 87% | |
|

Man | 98.1% | |
|

Man | 96.1% | |
|

Man | 96% | |
|

Man | 87% | |
|

Glasses | 92% | |
|

Glasses | 79.9% | |
|

Building | 91.5% | |
|

Car | 84.4% | |
|

Hat | 81.8% | |
|

Hat | 55.2% | |
|
Categories
Imagga
paintings art | 35.7% | |
| ||
streetview architecture | 33.5% | |
| ||
text visuals | 20.2% | |
| ||
cars vehicles | 6.2% | |
| ||
food drinks | 2.6% | |
|
Captions
Microsoft
created on 2018-05-11
a group of people standing in front of a building | 64.7% | |
| ||
a group of people in front of a building | 64.6% | |
| ||
a group of people walking in front of a building | 64.5% | |
|
Text analysis
Amazon

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