Machine Generated Data
Tags
Amazon
created on 2019-11-10
Clarifai
created on 2019-11-10
people | 99.7 | |
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vehicle | 98.2 | |
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man | 97.7 | |
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transportation system | 97.3 | |
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watercraft | 96 | |
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group | 95.2 | |
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group together | 94.8 | |
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adult | 91.8 | |
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woman | 90.7 | |
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retro | 89.5 | |
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many | 88.7 | |
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old | 87.5 | |
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vintage | 86.6 | |
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travel | 78.3 | |
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crowd | 77.7 | |
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boat | 76.9 | |
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recreation | 76.1 | |
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ship | 75.2 | |
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street | 74.5 | |
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water | 72.5 | |
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Imagga
created on 2019-11-10
ship | 39.4 | |
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city | 33.3 | |
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boat | 30.6 | |
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architecture | 29.3 | |
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sea | 26.7 | |
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tugboat | 24.7 | |
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water | 24.7 | |
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port | 24.1 | |
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travel | 23.2 | |
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vessel | 22.6 | |
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harbor | 22.2 | |
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building | 21.3 | |
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sky | 21.1 | |
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military vehicle | 20.8 | |
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river | 20.5 | |
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vehicle | 20.2 | |
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ocean | 18.4 | |
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tourism | 18.2 | |
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tank | 17.3 | |
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coast | 17.1 | |
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urban | 16.6 | |
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tower | 16.1 | |
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old | 15.3 | |
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history | 15.2 | |
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warship | 15.1 | |
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historic | 14.7 | |
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landmark | 14.5 | |
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transportation | 14.4 | |
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coastline | 14.1 | |
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pier | 13.8 | |
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transport | 13.7 | |
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cityscape | 13.3 | |
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liner | 13.2 | |
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famous | 13 | |
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submarine | 13 | |
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town | 13 | |
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dock | 12.7 | |
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landscape | 12.6 | |
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tracked vehicle | 12.1 | |
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marina | 12 | |
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armored vehicle | 11.7 | |
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vacation | 11.5 | |
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capital | 11.4 | |
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house | 11.2 | |
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construction | 11.1 | |
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craft | 11.1 | |
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church | 11.1 | |
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nautical | 10.7 | |
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boats | 10.7 | |
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wheeled vehicle | 10.7 | |
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buildings | 10.4 | |
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ferry | 9.9 | |
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palace | 9.8 | |
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bay | 9.7 | |
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cruise | 9.7 | |
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military | 9.7 | |
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submersible | 9.6 | |
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ancient | 9.5 | |
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tourist | 9.5 | |
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day | 9.4 | |
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culture | 9.4 | |
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outdoor | 9.2 | |
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summer | 9 | |
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night | 8.9 | |
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sailing | 8.8 | |
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bridge | 8.5 | |
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historical | 8.5 | |
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stone | 8.4 | |
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monument | 8.4 | |
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shore | 8.4 | |
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mountain | 8 | |
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center | 7.9 | |
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passenger ship | 7.8 | |
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structure | 7.8 | |
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roof | 7.8 | |
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skyline | 7.6 | |
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stage | 7.5 | |
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industrial | 7.3 | |
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scenery | 7.2 | |
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Google
created on 2019-11-10
Photograph | 96.8 | |
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Motor vehicle | 96.3 | |
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Snapshot | 86.8 | |
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Vehicle | 76.7 | |
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Classic | 74.6 | |
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Car | 68.9 | |
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Photographic paper | 68.5 | |
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Photography | 67.8 | |
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History | 60.4 | |
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Microsoft
created on 2019-11-10
text | 99.5 | |
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ship | 92.7 | |
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vehicle | 85.5 | |
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black and white | 56.3 | |
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store | 31.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-56 |
Gender | Female, 51.9% |
Happy | 45.1% |
Surprised | 46% |
Sad | 46.4% |
Calm | 45% |
Fear | 48.9% |
Confused | 45.1% |
Angry | 46.1% |
Disgusted | 47.4% |

AWS Rekognition
Age | 20-32 |
Gender | Female, 50.5% |
Happy | 45.4% |
Surprised | 45.2% |
Sad | 48.2% |
Calm | 46% |
Fear | 48.3% |
Confused | 45.2% |
Angry | 46.5% |
Disgusted | 45.2% |

AWS Rekognition
Age | 37-55 |
Gender | Male, 50.2% |
Happy | 49.7% |
Confused | 49.5% |
Surprised | 49.6% |
Angry | 49.7% |
Calm | 49.5% |
Disgusted | 49.5% |
Sad | 49.8% |
Fear | 49.6% |
Feature analysis
Categories
Imagga
interior objects | 81.4% | |
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paintings art | 14.7% | |
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streetview architecture | 2.1% | |
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pets animals | 1.1% | |
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Captions
Microsoft
created on 2019-11-10
a group of people standing in front of a building | 87.6% | |
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a group of people standing in front of a store | 73.7% | |
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a group of people standing in front of a white building | 73.6% | |
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Text analysis
Amazon

A

F

A G F A

G

F A
G
A

F

A

G