Machine Generated Data
Tags
Amazon
created on 2023-10-05
Neighborhood | 100 | |
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City | 99.9 | |
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Road | 99.9 | |
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Street | 99.9 | |
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Urban | 99.9 | |
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Adult | 98.8 | |
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Male | 98.8 | |
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Man | 98.8 | |
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Person | 98.8 | |
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Person | 98.3 | |
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Furniture | 98.2 | |
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Person | 98 | |
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Child | 98 | |
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Female | 98 | |
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Girl | 98 | |
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Chair | 93.8 | |
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Clothing | 88.3 | |
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Footwear | 88.3 | |
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Shoe | 88.3 | |
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Person | 85.1 | |
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Person | 84.7 | |
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Path | 84.6 | |
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Person | 83.6 | |
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Wheelchair | 78.8 | |
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Light | 78.1 | |
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Traffic Light | 78.1 | |
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Machine | 76.7 | |
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Wheel | 76.7 | |
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Car | 75.4 | |
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Transportation | 75.4 | |
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Vehicle | 75.4 | |
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Person | 73.6 | |
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Face | 72.7 | |
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Head | 72.7 | |
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Shoe | 70.4 | |
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Person | 69.7 | |
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Bicycle | 67 | |
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Person | 66.1 | |
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Traffic Light | 61.2 | |
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Architecture | 59.2 | |
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Building | 59.2 | |
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Hat | 58.2 | |
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Cycling | 57.2 | |
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Sport | 57.2 | |
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Sidewalk | 57.2 | |
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Intersection | 56.9 | |
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Shorts | 55.7 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-05
wheeled vehicle | 49.3 | |
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tricycle | 40.6 | |
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vehicle | 36.6 | |
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wheelchair | 36.3 | |
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street | 35 | |
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city | 31.6 | |
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pedestrian | 26.5 | |
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chair | 25.5 | |
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road | 24.4 | |
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building | 24.2 | |
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conveyance | 23 | |
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architecture | 22 | |
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seat | 21.3 | |
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urban | 20.1 | |
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travel | 19 | |
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people | 19 | |
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town | 16.7 | |
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buildings | 16.1 | |
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outdoors | 16 | |
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old | 16 | |
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man | 15.5 | |
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person | 14.1 | |
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sky | 14 | |
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furniture | 13.3 | |
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sidewalk | 12.4 | |
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transportation | 11.7 | |
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tourist | 11.5 | |
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outdoor | 11.5 | |
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day | 11 | |
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pavement | 10.8 | |
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tourism | 10.7 | |
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traffic | 10.5 | |
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brick | 10.4 | |
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car | 10.3 | |
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bicycle | 10.1 | |
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cars | 9.8 | |
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adult | 9.7 | |
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male | 9.4 | |
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tree | 9.2 | |
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history | 8.9 | |
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bike | 8.8 | |
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men | 8.6 | |
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skateboard | 8.5 | |
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house | 8.5 | |
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church | 8.3 | |
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exterior | 8.3 | |
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historic | 8.3 | |
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transport | 8.2 | |
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square | 8.1 | |
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lifestyle | 8 | |
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sport | 7.8 | |
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construction | 7.7 | |
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shopping cart | 7.5 | |
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window | 7.5 | |
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help | 7.5 | |
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child | 7.4 | |
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board | 7.3 | |
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handcart | 7.3 | |
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world | 7.2 | |
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Google
created on 2018-05-11
photograph | 95.3 | |
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car | 94.2 | |
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town | 92.3 | |
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black and white | 89.9 | |
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infrastructure | 87.6 | |
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street | 85.1 | |
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snapshot | 81.8 | |
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road | 81.3 | |
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monochrome photography | 79.1 | |
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neighbourhood | 77.9 | |
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residential area | 75.5 | |
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house | 73.2 | |
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monochrome | 67.4 | |
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history | 61.7 | |
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vehicle | 61.1 | |
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recreation | 57.4 | |
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facade | 53 | |
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pedestrian | 51.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 30-40 |
Gender | Male, 92.7% |
Calm | 68.6% |
Angry | 15.3% |
Surprised | 7.3% |
Fear | 6.3% |
Confused | 5.1% |
Disgusted | 3.3% |
Sad | 2.9% |
Happy | 2.6% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.9% |
Calm | 77.8% |
Confused | 8.3% |
Surprised | 6.8% |
Sad | 6.6% |
Fear | 6.1% |
Disgusted | 2.5% |
Angry | 1.1% |
Happy | 0.4% |

AWS Rekognition
Age | 10-18 |
Gender | Male, 73% |
Calm | 65.2% |
Happy | 20.8% |
Surprised | 7.2% |
Sad | 6.8% |
Fear | 6% |
Disgusted | 2.5% |
Angry | 0.5% |
Confused | 0.3% |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Feature analysis
Amazon
Adult
Male
Man
Person
Child
Female
Girl
Shoe
Traffic Light
Wheel
Car
Building
Hat
Categories
Imagga
streetview architecture | 65.8% | |
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nature landscape | 24.6% | |
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paintings art | 4.5% | |
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beaches seaside | 3% | |
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cars vehicles | 1.7% | |
|
Captions
Microsoft
created on 2018-05-11
a black and white photo of a street | 94% | |
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a black and white photo of a city street | 92.7% | |
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a black and white photo of a person | 88.3% | |
|
Text analysis
Amazon

55

DRUGS

54

29 54

29

68

PAPER

WALL PAPER

WALL

GETTYSBURG

UMA

36

at

1.00

de

FINE

VIETO