Machine Generated Data
Tags
Amazon
created on 2022-02-05
Person | 97.9 | |
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Human | 97.9 | |
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Person | 97.6 | |
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Person | 95.2 | |
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Building | 94.3 | |
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Person | 94.2 | |
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Car | 87.4 | |
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Transportation | 87.4 | |
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Vehicle | 87.4 | |
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Automobile | 87.4 | |
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Urban | 83.8 | |
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Person | 83.1 | |
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Person | 77.2 | |
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Person | 76.2 | |
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Road | 73.1 | |
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Housing | 69.5 | |
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Nature | 67 | |
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Tarmac | 58.7 | |
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Asphalt | 58.7 | |
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Intersection | 58.4 | |
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Outdoors | 57.9 | |
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People | 56.3 | |
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Wheel | 55.9 | |
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Machine | 55.9 | |
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City | 55.2 | |
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Town | 55.2 | |
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Person | 52.8 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-02-05
wheeled vehicle | 49.4 | |
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architecture | 41.4 | |
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car | 39.9 | |
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building | 33.9 | |
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vehicle | 33.7 | |
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structure | 32.3 | |
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passenger car | 26.3 | |
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house | 24.7 | |
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sky | 24.3 | |
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freight car | 22.1 | |
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city | 21.6 | |
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conveyance | 20.5 | |
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old | 19.5 | |
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hut | 18.2 | |
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urban | 17.5 | |
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housing | 16.6 | |
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roof | 16.2 | |
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shelter | 14.7 | |
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streetcar | 14.5 | |
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transportation | 14.4 | |
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travel | 14.1 | |
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wall | 13.9 | |
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construction | 12.8 | |
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mobile home | 12.3 | |
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town | 12.1 | |
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train | 12 | |
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home | 12 | |
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street | 12 | |
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industry | 12 | |
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transport | 11.9 | |
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clouds | 11.8 | |
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trailer | 11.7 | |
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tower | 11.6 | |
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window | 11.3 | |
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landscape | 10.4 | |
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ancient | 10.4 | |
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exterior | 10.1 | |
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water | 10 | |
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wooden | 9.7 | |
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estate | 9.5 | |
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buildings | 9.5 | |
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boat | 9.3 | |
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stone | 9.3 | |
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center | 9.2 | |
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industrial | 9.1 | |
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railway | 8.8 | |
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rural | 8.8 | |
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houses | 8.7 | |
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factory | 8.7 | |
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scene | 8.7 | |
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residential | 8.6 | |
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tourism | 8.3 | |
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landmark | 8.1 | |
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coast | 8.1 | |
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history | 8.1 | |
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night | 8 | |
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facade | 7.9 | |
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modern | 7.7 | |
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real | 7.6 | |
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brick | 7.5 | |
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ship | 7.5 | |
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environment | 7.4 | |
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church | 7.4 | |
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historic | 7.3 | |
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public house | 7.3 | |
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track | 7.2 | |
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road | 7.2 | |
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trees | 7.1 | |
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grass | 7.1 | |
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sea | 7 | |
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Google
created on 2022-02-05
Building | 94 | |
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Window | 92.3 | |
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Rectangle | 86.8 | |
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Black-and-white | 84.7 | |
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House | 77.7 | |
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Monochrome photography | 77.5 | |
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Tints and shades | 77.3 | |
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Monochrome | 77 | |
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Font | 76.5 | |
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Facade | 72.1 | |
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Urban design | 64.8 | |
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Roof | 61.5 | |
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Room | 61.2 | |
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History | 59.2 | |
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Square | 58.7 | |
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Darkness | 58.6 | |
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Art | 58.5 | |
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Paper product | 56.7 | |
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Still life photography | 55.4 | |
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Night | 51.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Male, 90.3% |
Calm | 55% |
Sad | 15.5% |
Angry | 11.1% |
Confused | 9.3% |
Happy | 3.2% |
Disgusted | 2% |
Surprised | 2% |
Fear | 1.9% |

AWS Rekognition
Age | 16-22 |
Gender | Female, 57.3% |
Calm | 76% |
Happy | 10.7% |
Sad | 5% |
Fear | 3.8% |
Angry | 1.7% |
Confused | 1.5% |
Disgusted | 0.7% |
Surprised | 0.6% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 84.1% |
Sad | 78% |
Calm | 13.1% |
Angry | 2.4% |
Fear | 2.1% |
Confused | 1.9% |
Disgusted | 1.1% |
Surprised | 0.9% |
Happy | 0.6% |
Feature analysis
Categories
Imagga
streetview architecture | 90.6% | |
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text visuals | 4.6% | |
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interior objects | 2.7% | |
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cars vehicles | 1.3% | |
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Captions
Microsoft
created by unknown on 2022-02-05
a vintage photo of an old building | 92.6% | |
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a vintage photo of a building | 92.5% | |
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a vintage photo of a large building | 90.6% | |
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Text analysis
Amazon

BRITAIN

CLOTHING FOR BRITAIN

CLOTHING

FOR

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TRANSPORTATION

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TRANSPORTATION 21 100

21

100

M ON ce IN
CLOTHINGFO BRITAIN
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STRANSAOAN

M

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IN

CLOTHINGFO

BRITAIN

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