Machine Generated Data
Tags
Amazon
created on 2022-02-04
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-04
freight car | 100 | |
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car | 84.5 | |
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wheeled vehicle | 67.5 | |
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vehicle | 51.4 | |
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old | 26.5 | |
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transportation | 26 | |
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train | 25 | |
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track | 23 | |
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conveyance | 22.5 | |
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transport | 21.9 | |
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locomotive | 21.3 | |
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railroad | 20.6 | |
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railway | 18.6 | |
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architecture | 18.5 | |
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travel | 18.3 | |
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steam | 17.5 | |
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structure | 17 | |
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city | 16.6 | |
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vintage | 15.7 | |
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industry | 15.4 | |
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steel | 15 | |
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sky | 14.7 | |
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industrial | 14.5 | |
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power | 14.3 | |
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rail | 13.7 | |
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building | 13.6 | |
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engine | 12.5 | |
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smoke | 12.1 | |
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metal | 12.1 | |
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antique | 11.2 | |
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grunge | 11.1 | |
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dirty | 10.8 | |
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water | 10.7 | |
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urban | 10.5 | |
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outdoors | 10.5 | |
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station | 10 | |
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coal | 10 | |
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aged | 10 | |
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history | 9.8 | |
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ancient | 9.5 | |
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work | 9.5 | |
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construction | 9.4 | |
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black | 9 | |
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retro | 9 | |
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rusty | 8.6 | |
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outside | 8.6 | |
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old fashioned | 8.6 | |
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wheel | 8.5 | |
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historical | 8.5 | |
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tree | 8.5 | |
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iron | 8.4 | |
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house | 8.4 | |
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historic | 8.2 | |
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steam locomotive | 7.9 | |
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energy | 7.6 | |
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machine | 7.5 | |
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tourism | 7.4 | |
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vacation | 7.4 | |
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factory | 7.2 | |
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landmark | 7.2 | |
|
Google
created on 2022-02-04
Building | 91.5 | |
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Black | 89.7 | |
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Rectangle | 86.6 | |
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Art | 82.3 | |
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Tints and shades | 77.1 | |
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Snapshot | 74.3 | |
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Font | 73.2 | |
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Facade | 72.2 | |
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Painting | 72.2 | |
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Visual arts | 68.7 | |
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Monochrome | 66.3 | |
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History | 66.1 | |
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Monochrome photography | 64.9 | |
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Stock photography | 63 | |
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Room | 62.9 | |
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Window | 58.7 | |
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Drawing | 56.9 | |
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House | 55.4 | |
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Artwork | 53.8 | |
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Modern art | 53.8 | |
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Microsoft
created on 2022-02-04
building | 99.2 | |
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text | 96.1 | |
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black and white | 94.3 | |
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drawing | 87.3 | |
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old | 86 | |
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street | 79.7 | |
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monochrome | 78.9 | |
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white | 69.8 | |
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city | 66.7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 14-22 |
Gender | Male, 81.2% |
Angry | 99.4% |
Calm | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Sad | 0.1% |
Confused | 0.1% |
Happy | 0% |
Surprised | 0% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 87% |
Sad | 80.9% |
Calm | 8.3% |
Angry | 4.7% |
Disgusted | 2.6% |
Fear | 1.6% |
Confused | 0.9% |
Surprised | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 95.7% |
Calm | 95% |
Sad | 3.1% |
Angry | 0.8% |
Disgusted | 0.3% |
Confused | 0.3% |
Surprised | 0.2% |
Happy | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 99.4% |
Calm | 39.3% |
Disgusted | 19% |
Confused | 17.4% |
Sad | 14.4% |
Angry | 3.8% |
Happy | 2.8% |
Fear | 2.3% |
Surprised | 0.9% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 89.8% |
Calm | 80.9% |
Sad | 8% |
Angry | 7.8% |
Fear | 1% |
Confused | 0.9% |
Disgusted | 0.5% |
Surprised | 0.5% |
Happy | 0.4% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 85% |
Calm | 65.4% |
Sad | 15.6% |
Fear | 7.6% |
Angry | 5.7% |
Confused | 2.2% |
Disgusted | 1.9% |
Happy | 1% |
Surprised | 0.5% |

AWS Rekognition
Age | 10-18 |
Gender | Male, 98.9% |
Calm | 41.2% |
Surprised | 23.3% |
Disgusted | 16.2% |
Sad | 9.6% |
Confused | 4.5% |
Fear | 3.2% |
Angry | 1.4% |
Happy | 0.7% |
Feature analysis
Categories
Imagga
interior objects | 42.6% | |
| ||
paintings art | 28.5% | |
| ||
streetview architecture | 15.4% | |
| ||
pets animals | 5.1% | |
| ||
nature landscape | 3.9% | |
| ||
text visuals | 2% | |
|
Captions
Microsoft
created on 2022-02-04
an old photo of a building | 83% | |
| ||
an old photo of a store | 77.3% | |
| ||
old photo of a building | 77.2% | |
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Text analysis
Amazon

4H

CALDWELL

4H PREDGE

CLUBS

CALDWELL CNT -

243

PREDGE

-

Fuel

CNT