Machine Generated Data
Tags
Amazon
created on 2022-01-30
Clarifai
created on 2023-10-29
people | 99.6 | |
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monochrome | 99.4 | |
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street | 98.4 | |
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group together | 97.5 | |
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many | 96.7 | |
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vehicle | 96.3 | |
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group | 95.4 | |
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no person | 92 | |
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city | 91.4 | |
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war | 89.9 | |
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transportation system | 88.9 | |
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winter | 87.7 | |
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town | 86.8 | |
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black and white | 86.3 | |
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home | 86.2 | |
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crowd | 85.4 | |
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building | 84.6 | |
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waste | 83.9 | |
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water | 83.6 | |
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adult | 82.9 | |
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Imagga
created on 2022-01-30
billboard | 45.6 | |
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shopping cart | 42.4 | |
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structure | 37.6 | |
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signboard | 36.5 | |
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wheeled vehicle | 34.8 | |
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handcart | 34 | |
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sky | 31.4 | |
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city | 27.5 | |
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landscape | 22.3 | |
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road | 20.8 | |
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architecture | 20.3 | |
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travel | 17.6 | |
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container | 17.2 | |
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clouds | 16.9 | |
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urban | 15.7 | |
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water | 15.4 | |
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transportation | 15.3 | |
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speedway | 14.8 | |
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street | 14.7 | |
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winter | 14.5 | |
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snow | 14 | |
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highway | 13.5 | |
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sea | 13.3 | |
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car | 13.1 | |
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town | 13 | |
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truck | 12.3 | |
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tree | 12.3 | |
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industry | 12 | |
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industrial | 11.8 | |
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weather | 11.7 | |
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tower | 11.7 | |
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trees | 11.6 | |
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ocean | 11 | |
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building | 10.7 | |
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vehicle | 10.7 | |
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light | 10.7 | |
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facility | 10.7 | |
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racetrack | 10.5 | |
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cold | 10.3 | |
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day | 10.2 | |
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conveyance | 10.2 | |
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tourism | 9.9 | |
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scenic | 9.7 | |
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summer | 9.7 | |
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scene | 9.5 | |
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cloud | 9.5 | |
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cityscape | 9.5 | |
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outdoor | 9.2 | |
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speed | 9.2 | |
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horizon | 9 | |
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bridge | 9 | |
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outdoors | 9 | |
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driving | 8.7 | |
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season | 8.6 | |
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outside | 8.6 | |
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construction | 8.6 | |
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traffic | 8.6 | |
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drive | 8.5 | |
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field | 8.4 | |
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house | 8.4 | |
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transport | 8.2 | |
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ship | 8.1 | |
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housing | 8 | |
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river | 8 | |
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business | 7.9 | |
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sand | 7.9 | |
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trailer | 7.8 | |
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course | 7.8 | |
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beach | 7.8 | |
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old | 7.7 | |
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intersection | 7.6 | |
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power | 7.6 | |
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cloudy | 7.5 | |
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shore | 7.4 | |
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land | 7.4 | |
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vacation | 7.4 | |
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sunset | 7.2 | |
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history | 7.2 | |
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steel | 7.1 | |
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Google
created on 2022-01-30
Tree | 85.9 | |
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Black-and-white | 84 | |
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Rectangle | 78.9 | |
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Tints and shades | 77.4 | |
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Asphalt | 77.1 | |
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Monochrome photography | 75.4 | |
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Monochrome | 73.5 | |
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Font | 72.9 | |
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Plant | 66.4 | |
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Landscape | 66.4 | |
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Room | 65.2 | |
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History | 65.1 | |
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Building | 65 | |
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Stock photography | 61.9 | |
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Window | 61.8 | |
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Urban design | 57.1 | |
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Photographic paper | 56.5 | |
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Motor vehicle | 53.9 | |
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Suburb | 53.3 | |
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Grass | 52.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Female, 98.8% |
Calm | 85.5% |
Sad | 7.4% |
Angry | 2.5% |
Fear | 2.5% |
Disgusted | 0.9% |
Surprised | 0.5% |
Happy | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 59% |
Sad | 46.4% |
Angry | 22.7% |
Calm | 22.1% |
Disgusted | 2.8% |
Confused | 2.1% |
Happy | 2% |
Surprised | 1.1% |
Fear | 0.8% |

AWS Rekognition
Age | 40-48 |
Gender | Female, 85.5% |
Calm | 83.1% |
Happy | 8.1% |
Disgusted | 2% |
Angry | 1.8% |
Surprised | 1.8% |
Fear | 1.5% |
Sad | 1.1% |
Confused | 0.7% |
Feature analysis
Categories
Imagga
beaches seaside | 48.7% | |
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cars vehicles | 25.7% | |
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nature landscape | 19.1% | |
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text visuals | 2.8% | |
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streetview architecture | 1.6% | |
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interior objects | 1.1% | |
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Captions
Microsoft
created on 2022-01-30
a vintage photo of a train | 79.9% | |
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an old photo of a train | 78.9% | |
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a vintage photo of a train station | 76.2% | |
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Text analysis
Amazon

ROBAK