Machine Generated Data
Tags
Amazon
created on 2022-02-05
Person | 97 | |
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Human | 97 | |
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Person | 95.7 | |
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Wheel | 95.6 | |
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Machine | 95.6 | |
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Wheel | 95.3 | |
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Person | 95.2 | |
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Person | 95.2 | |
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Transportation | 93.5 | |
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Vehicle | 93.5 | |
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Person | 91.1 | |
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Person | 90.4 | |
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Truck | 89.2 | |
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Person | 89.1 | |
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Wheel | 87.7 | |
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Wheel | 84 | |
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Person | 81 | |
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Automobile | 80.8 | |
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Person | 79.6 | |
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Tarmac | 79.5 | |
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Asphalt | 79.5 | |
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Car | 77.1 | |
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Tire | 71 | |
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Sports Car | 68 | |
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Car | 65.5 | |
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Trailer Truck | 64.8 | |
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Car | 63 | |
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Person | 58.6 | |
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Race Car | 56.7 | |
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Spoke | 55.4 | |
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Clarifai
created on 2023-10-29
people | 98.6 | |
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monochrome | 98.3 | |
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street | 94.1 | |
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vehicle | 90.2 | |
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many | 88.4 | |
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group | 87.8 | |
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city | 86.3 | |
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adult | 85.7 | |
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group together | 84.1 | |
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transportation system | 82.5 | |
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architecture | 82 | |
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man | 79.5 | |
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war | 79.3 | |
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building | 73.2 | |
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no person | 70.7 | |
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one | 70.4 | |
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administration | 68.6 | |
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car | 68 | |
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portrait | 67.9 | |
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chair | 66.9 | |
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Imagga
created on 2022-02-05
freight car | 38.4 | |
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car | 32.9 | |
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city | 32.4 | |
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wheeled vehicle | 31.8 | |
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vehicle | 31.2 | |
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architecture | 28.7 | |
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water | 25.4 | |
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travel | 23.2 | |
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building | 23.1 | |
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night | 22.2 | |
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sky | 21.4 | |
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center | 19.5 | |
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tourism | 18.2 | |
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sea | 18 | |
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cityscape | 18 | |
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conveyance | 16.7 | |
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urban | 16.6 | |
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ship | 15.8 | |
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town | 15.8 | |
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ocean | 15.8 | |
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old | 15.3 | |
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boat | 14 | |
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house | 13.7 | |
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harbor | 13.5 | |
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river | 13.4 | |
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military vehicle | 13.1 | |
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church | 13 | |
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landscape | 12.7 | |
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tower | 12.5 | |
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famous | 12.1 | |
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lights | 12.1 | |
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landmark | 11.7 | |
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truck | 11.7 | |
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sunset | 11.7 | |
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coast | 11.7 | |
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history | 11.6 | |
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port | 11.6 | |
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buildings | 11.3 | |
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historical | 11.3 | |
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vessel | 10.8 | |
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motor vehicle | 10.8 | |
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light | 10.7 | |
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skyline | 10.5 | |
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capital | 10.4 | |
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coastline | 10.3 | |
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tourist | 10 | |
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structure | 9.8 | |
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vacation | 9.8 | |
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boats | 9.7 | |
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scene | 9.5 | |
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industry | 9.4 | |
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shore | 9.3 | |
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houses | 8.7 | |
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rock | 8.7 | |
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downtown | 8.7 | |
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england | 8.6 | |
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bridge | 8.5 | |
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evening | 8.4 | |
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aircraft carrier | 8.4 | |
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summer | 8.4 | |
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dark | 8.4 | |
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street | 8.3 | |
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outdoors | 8.2 | |
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sun | 8.1 | |
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warship | 7.8 | |
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stage | 7.7 | |
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tree | 7.7 | |
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panorama | 7.6 | |
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beach | 7.6 | |
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power | 7.6 | |
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palace | 7.6 | |
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shipping | 7.5 | |
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hill | 7.5 | |
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historic | 7.3 | |
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island | 7.3 | |
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reflection | 7.3 | |
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machine | 7.3 | |
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industrial | 7.3 | |
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transportation | 7.2 | |
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Google
created on 2022-02-05
Wheel | 96.7 | |
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Tire | 95.5 | |
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Automotive tire | 88.8 | |
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Building | 86.4 | |
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Rectangle | 85.2 | |
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Vehicle | 84.1 | |
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Motor vehicle | 83.3 | |
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Font | 79.4 | |
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Window | 79.3 | |
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Truck | 74.2 | |
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Monochrome photography | 70.5 | |
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Automotive wheel system | 69.5 | |
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Car | 68.3 | |
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Monochrome | 67.4 | |
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Machine | 65.8 | |
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Room | 65.7 | |
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House | 61.6 | |
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Automotive exterior | 61.3 | |
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Paper product | 60.1 | |
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Classic car | 59.6 | |
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Microsoft
created on 2022-02-05
text | 99.9 | |
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vehicle | 96 | |
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land vehicle | 94.4 | |
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wheel | 87.7 | |
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house | 82 | |
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truck | 70.1 | |
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car | 66.3 | |
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black | 65.2 | |
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black and white | 64.7 | |
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image | 37.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 84.8% |
Calm | 88.4% |
Sad | 3.9% |
Disgusted | 1.9% |
Surprised | 1.6% |
Happy | 1.6% |
Angry | 1.4% |
Fear | 0.9% |
Confused | 0.3% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 52% |
Calm | 58.2% |
Happy | 35.1% |
Sad | 2.8% |
Fear | 1.2% |
Disgusted | 0.8% |
Surprised | 0.7% |
Angry | 0.6% |
Confused | 0.5% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 94.8% |
Fear | 56.4% |
Calm | 30.9% |
Sad | 4.6% |
Happy | 4.2% |
Angry | 1.5% |
Surprised | 1.2% |
Disgusted | 0.9% |
Confused | 0.2% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.7% |
Calm | 66.2% |
Sad | 16.2% |
Angry | 8.9% |
Happy | 4.6% |
Surprised | 1.6% |
Fear | 1.1% |
Confused | 0.9% |
Disgusted | 0.5% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 83.9% |
Calm | 60.3% |
Sad | 11.8% |
Fear | 11.2% |
Happy | 9.3% |
Angry | 4.3% |
Disgusted | 1.3% |
Confused | 0.9% |
Surprised | 0.8% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 73.3% |
Calm | 87.6% |
Happy | 4.7% |
Sad | 2% |
Fear | 2% |
Disgusted | 1.7% |
Angry | 1.2% |
Confused | 0.4% |
Surprised | 0.3% |
Feature analysis
Categories
Imagga
text visuals | 93.9% | |
| ||
cars vehicles | 2.5% | |
| ||
paintings art | 2.2% | |
|
Captions
Microsoft
created on 2022-02-05
a screen shot of a store window | 43.7% | |
| ||
a screen shot of a store | 43.6% | |
| ||
a display in a store window | 42.6% | |
|
Text analysis
Amazon

O'DONNELL'S

NORTHERN

10

RUSH

EXPRESS

ODONNELLS EXPRESS

ODONNELLS

HERN

MAINE

HERN MAINE

BOSTON

NSFER

BOSTON-NORTHERN

EXP

MI

NSFER CO

ODONNELL'S EXPRESS

CO

BOSTON AND NORTHERN MAINE

BOSTON NORTHERN MI

ODONNELL'S

COONNELLES EXP

COONNELLS

SERVICE

COONNELLES

AND

PACK SERVICE

anim

MJI7

MJI7 YT37A2 A70A

A70A

NTENTON 201 COONNELLS TIRE MATORY

anim und

YT37A2

MATORY

DONEY'S

und

20

TIRE

201

NTENTON

PACK

ODONNELLS EXPRESS
OSTONNORTHERN MAINE
0OONS E
NSFER Co
HERN MAINE
O'DONNELL'S
BOSTON R NORTHERN MAINE
ODONNELL'S EXPRESS
BOSTON NORTHERN ME
WIOL T 0ONNELLS TN MOTORIK
BOSTON

ODONNELLS

EXPRESS

OSTONNORTHERN

MAINE

0OONS

E

NSFER

Co

HERN

O'DONNELL'S

BOSTON

R

NORTHERN

ODONNELL'S

ME

WIOL

T

0ONNELLS

TN

MOTORIK