Machine Generated Data
Tags
Amazon
created on 2019-03-22
Human | 96.5 | |
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Person | 96.5 | |
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Person | 96.4 | |
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Person | 93.3 | |
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Vehicle | 92.5 | |
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Automobile | 92.5 | |
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Car | 92.5 | |
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Transportation | 92.5 | |
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Car | 87.8 | |
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Person | 87.7 | |
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Car | 86.3 | |
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Convertible | 82.9 | |
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Car | 80.4 | |
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Windshield | 65 | |
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Driving | 58.4 | |
|
Clarifai
created on 2019-03-22
vehicle | 99.8 | |
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people | 99.7 | |
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transportation system | 98.3 | |
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adult | 98.1 | |
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one | 97.8 | |
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two | 96.6 | |
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car | 96.1 | |
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man | 96 | |
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military | 93.6 | |
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war | 93 | |
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aircraft | 93 | |
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group together | 92.6 | |
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three | 91.3 | |
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monochrome | 91.3 | |
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driver | 88.5 | |
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group | 86.2 | |
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woman | 86.1 | |
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four | 85.3 | |
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administration | 83.8 | |
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several | 83.6 | |
|
Imagga
created on 2019-03-22
car | 57.7 | |
| ||
vehicle | 36 | |
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transportation | 32.2 | |
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motor vehicle | 25.1 | |
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automobile | 24.9 | |
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auto | 22.9 | |
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transport | 21.9 | |
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device | 15.4 | |
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engine | 15.4 | |
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speed | 14.6 | |
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motor | 14.5 | |
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wheeled vehicle | 13.2 | |
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hood | 12.8 | |
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machine | 12.3 | |
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garage | 12.2 | |
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outdoors | 11.9 | |
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road | 11.7 | |
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man | 11.4 | |
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travel | 11.3 | |
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equipment | 10.8 | |
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driver | 10.7 | |
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driving | 10.6 | |
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repair | 10.5 | |
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metal | 10.5 | |
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traffic | 10.4 | |
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drive | 10.4 | |
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business | 10.3 | |
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luxury | 10.3 | |
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day | 10.2 | |
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cockpit | 9.9 | |
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technology | 9.6 | |
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urban | 9.6 | |
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fast | 9.3 | |
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safety | 9.2 | |
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modern | 9.1 | |
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truck | 9 | |
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station | 9 | |
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building | 8.9 | |
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automotive | 8.8 | |
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wheel | 8.6 | |
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boat | 8.5 | |
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industry | 8.5 | |
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people | 8.4 | |
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old | 8.4 | |
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house | 8.3 | |
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city | 8.3 | |
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golf equipment | 8.2 | |
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accident | 7.8 | |
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mechanic | 7.8 | |
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adult | 7.8 | |
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broken | 7.7 | |
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person | 7.4 | |
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inside | 7.4 | |
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new | 7.3 | |
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danger | 7.3 | |
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steel | 7.1 | |
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beach wagon | 7 | |
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sky | 7 | |
|
Google
created on 2019-03-22
Motor vehicle | 97.8 | |
| ||
Vehicle | 92.7 | |
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Car | 89.4 | |
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Windshield | 84 | |
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Glass | 71.8 | |
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Automotive window part | 68.4 | |
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Classic | 63.8 | |
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Classic car | 59.7 | |
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Family car | 57.4 | |
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Vintage car | 50.6 | |
|
Microsoft
created on 2019-03-22
car | 13.9 | |
| ||
black and white | 3.6 | |
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street | 3.3 | |
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retro | 2.2 | |
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truck | 1.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.4% |
Sad | 53% |
Angry | 45.4% |
Calm | 45.8% |
Surprised | 45.2% |
Confused | 45.4% |
Happy | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 54.4% |
Surprised | 45.1% |
Angry | 45.1% |
Confused | 45.1% |
Calm | 54.3% |
Sad | 45.4% |
Happy | 45.1% |
Disgusted | 45% |

AWS Rekognition
Age | 1-5 |
Gender | Male, 93.5% |
Confused | 4.5% |
Disgusted | 1.4% |
Happy | 0.7% |
Calm | 12.5% |
Sad | 72.9% |
Angry | 5.8% |
Surprised | 2.2% |

Microsoft Cognitive Services
Age | 10 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 70.8% | |
| ||
beaches seaside | 16.2% | |
| ||
cars vehicles | 11.1% | |
|
Captions
Microsoft
created on 2019-03-22
a car parked on the side of a building | 82.8% | |
| ||
a car parked in front of a building | 82.7% | |
| ||
a car parked inside a building | 79.5% | |
|
Text analysis
Amazon

WELCOME TO

JAYS

WELCOME TO JAYS SBROOKTALR

SBROOKTALR

mum

mum TI

TI

ME TO JAY'S BROKT ALE

ME

TO

JAY'S

BROKT

ALE