Machine Generated Data
Tags
Amazon
created on 2019-05-29
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.1 | |
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Bicycle | 98.8 | |
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Vehicle | 98.8 | |
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Bike | 98.8 | |
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Transportation | 98.8 | |
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Person | 97.5 | |
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Train | 92.3 | |
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Bicycle | 84.7 | |
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Wheel | 83 | |
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Machine | 83 | |
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Railway | 82.2 | |
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Train Track | 82.2 | |
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Rail | 82.2 | |
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Person | 75.2 | |
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Wheel | 71.8 | |
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Mammal | 70.5 | |
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Horse | 70.5 | |
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Animal | 70.5 | |
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Spoke | 65.7 | |
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Engine | 63.5 | |
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Motor | 63.5 | |
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People | 61.6 | |
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Wheel | 58.1 | |
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Bird | 56.1 | |
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Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
cart | 36.3 | |
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beach | 28.1 | |
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ocean | 25.9 | |
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wagon | 25.8 | |
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sea | 25.8 | |
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water | 25.4 | |
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wheeled vehicle | 24.9 | |
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horse cart | 22.9 | |
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landscape | 21.6 | |
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travel | 20.4 | |
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man | 20.2 | |
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sky | 19.8 | |
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coast | 19.8 | |
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vehicle | 19.3 | |
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shore | 17.8 | |
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outdoors | 16.8 | |
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sand | 16.8 | |
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people | 16.7 | |
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oxcart | 16.6 | |
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vacation | 15.5 | |
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summer | 15.4 | |
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clouds | 14.4 | |
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tourism | 14 | |
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island | 13.7 | |
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sunset | 13.5 | |
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old | 13.2 | |
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walk | 12.4 | |
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outdoor | 12.2 | |
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silhouette | 11.6 | |
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walking | 11.4 | |
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coastline | 11.3 | |
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stretcher | 11.2 | |
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holiday | 10.7 | |
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dusk | 10.5 | |
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sun | 10.5 | |
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evening | 10.3 | |
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waves | 10.2 | |
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lake | 10.1 | |
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transport | 10 | |
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male | 10 | |
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bicycle | 9.9 | |
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park | 9.9 | |
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transportation | 9.9 | |
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recreation | 9.9 | |
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conveyance | 9.8 | |
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rural | 9.7 | |
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tourist | 9.7 | |
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couple | 9.6 | |
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seascape | 9.6 | |
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bay | 9.4 | |
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tropical | 9.4 | |
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dark | 9.2 | |
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sport | 9.2 | |
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ship | 9.1 | |
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road | 9 | |
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litter | 9 | |
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mountain | 8.9 | |
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resort | 8.8 | |
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machine | 8.7 | |
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fishing | 8.7 | |
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cannon | 8.1 | |
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scenery | 8.1 | |
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horizon | 8.1 | |
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snow | 8 | |
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barrow | 8 | |
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lifestyle | 7.9 | |
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building | 7.9 | |
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bike | 7.8 | |
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wave | 7.8 | |
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plow | 7.6 | |
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handcart | 7.6 | |
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relax | 7.6 | |
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boat | 7.5 | |
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pier | 7.5 | |
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sunrise | 7.5 | |
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city | 7.5 | |
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device | 7.2 | |
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river | 7.1 | |
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tree | 7.1 | |
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day | 7.1 | |
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scenic | 7 | |
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Google
created on 2019-05-29
Photograph | 96.6 | |
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Transport | 87.9 | |
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Snapshot | 86.6 | |
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Black-and-white | 68.3 | |
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Photography | 67.8 | |
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Vehicle | 66.1 | |
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Railway | 52 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.5% |
Sad | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Confused | 49.6% |
Surprised | 49.6% |
Disgusted | 49.5% |
Calm | 50.1% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.4% |
Disgusted | 49.7% |
Surprised | 49.6% |
Sad | 49.6% |
Happy | 49.6% |
Calm | 49.7% |
Confused | 49.6% |
Angry | 49.7% |
Feature analysis
Categories
Imagga
streetview architecture | 32.3% | |
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cars vehicles | 31.1% | |
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nature landscape | 20.4% | |
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paintings art | 12.9% | |
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beaches seaside | 1.9% | |
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Captions
Microsoft
created on 2019-05-29
a black and white photo of a man | 94.5% | |
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an old black and white photo of a man | 94.4% | |
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a black and white photo of a group of people posing for the camera | 93% | |
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